[go: up one dir, main page]

WO2019012736A1 - Slippage detection system - Google Patents

Slippage detection system Download PDF

Info

Publication number
WO2019012736A1
WO2019012736A1 PCT/JP2018/009340 JP2018009340W WO2019012736A1 WO 2019012736 A1 WO2019012736 A1 WO 2019012736A1 JP 2018009340 W JP2018009340 W JP 2018009340W WO 2019012736 A1 WO2019012736 A1 WO 2019012736A1
Authority
WO
WIPO (PCT)
Prior art keywords
slip
protrusion
slip detection
detection sensor
detection system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2018/009340
Other languages
French (fr)
Japanese (ja)
Inventor
裕二 アンドレ 保富
風間 敦
青野 宇紀
堀江 陽介
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Original Assignee
Hitachi Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hitachi Ltd filed Critical Hitachi Ltd
Publication of WO2019012736A1 publication Critical patent/WO2019012736A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J13/00Controls for manipulators
    • B25J13/08Controls for manipulators by means of sensing devices, e.g. viewing or touching devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00Measuring force or stress, in general
    • G01L1/18Measuring force or stress, in general using properties of piezo-resistive materials, i.e. materials of which the ohmic resistance varies according to changes in magnitude or direction of force applied to the material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L5/00Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L5/00Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
    • G01L5/22Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring the force applied to control members, e.g. control members of vehicles, triggers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N19/00Investigating materials by mechanical methods
    • G01N19/02Measuring coefficient of friction between materials

Definitions

  • the present invention relates to a slip detection system.
  • This application claims the priority based on Japanese Patent Application No. 2017-135868 filed on Jul. 12, 2017 in Japan, the entire contents of the basic Japanese application are incorporated in the present application, and the contents of the present application. It is
  • a gripping mechanism (also referred to as a robot hand) is used by automated robots in production lines and inspection lines, and autonomous mobile robots to carry gripping objects.
  • the grasping object of the grasping mechanism is various grasping objects which differ in hardness, weight, shape, size, etc.
  • a sensing system for detecting the grasping object in order to grasp it without slipping or breaking it Is required.
  • Patent Document 1 a plurality of sensor units are arranged in a matrix, and the barycentric position of an object is calculated by a plurality of strain sensors incorporated in each sensor unit, whereby the appropriate force is obtained by Techniques for adjusting grip are presented.
  • Patent Document 2 a plurality of contact sensors and an optical slip sensor module are disposed in the hand unit, and the position of the operation object is detected using the contact sensor, and the position of the operation object and the optical slip sensor Techniques have been presented to control slip detection points detected by the modules to coincide.
  • An object of the present invention is to calculate a gripping force close to the minimum at which an object does not slip with high accuracy and a simple configuration.
  • the present invention has the following features, for example.
  • a deformation detection sensor comprising a plurality of projections, a deformation detection sensor, and a slip detection means, wherein the deformation detection sensor is disposed on at least one of the plurality of projections, and the deformation detection sensor is not disposed.
  • the slip detection means causes a slip between the object on which the deformation detection sensor is placed and the object depending on the value of the deformation detection sensor. Calculate one grip force.
  • FIG. 1 is a view showing an example of the configuration of a gripping mechanism according to a first embodiment of the present invention.
  • the gripping mechanism includes a hand 101 for performing gripping, and an arm 102 for causing the hand 101 to approach the object 104.
  • the hand 101 includes a drive unit 105 that enables the opening and closing operation of the hand, a grip unit 100 that grips an object, and a sensor unit 103 that is disposed in the grip unit 100 and that detects slippage of the object.
  • the arm 102 is provided with an arm drive unit 106 which enables three-dimensional movement of the arm 102.
  • the drive unit 105 and the arm drive unit 106 are controlled by the controller 108 via the amplifier 107.
  • a CPU 109, a memory 110, a slip detection means 112, and a margin calculation means 113 are mounted, and in the memory 110, a database 111 is provided.
  • FIG. 1 is a view schematically showing a gripping mechanism that grips the target object 104, and a slip detection system to which the present invention can be applied is not limited to such a gripping mechanism.
  • the hand 101 may have a plurality of fingers like human hands, and the sensor unit 103 may be provided on each finger. In that case, if the small object 104 is gripped by the two fingers of the hand, the object 104 is grasped by the two fingers of the hand 101 if the object is large 104, etc. You may Furthermore, in the case of a large object 104, gripping may be performed using a plurality of gripping mechanisms.
  • the sensor unit 103 may be provided on the finger necessary to detect slippage.
  • the simplest configuration is the hand 101 as shown in FIG. 1, and the sensor unit 103 may be provided on at least one of the gripping surfaces.
  • FIG. 2 is a diagram showing the configuration of the sensor unit 103 according to the present embodiment.
  • FIG. 2 is a diagram showing the sensor unit 103 such that the contact surface with the object 104 is on the top.
  • the contact surface is a surface when the object and the sensor unit 103 contact, and more specifically, the holding projection 201 and the slip detection projection 202 installed in the sensor unit 103, and the object 104 It is the surface when it contacts. In the case of the hand 101, it is also referred to as a gripping surface.
  • the sensor unit 103 includes a fixed base 203 attached to the surface where the hand contacts the object, a plurality of protrusions 201 to 202 arranged in a matrix (in the vertical and horizontal directions) on the fixed base 203, and a plurality of protrusions 201 to A deformation detection sensor 204 that detects deformation of 202 is provided.
  • the plurality of protrusions 201 to 202 form a contact surface with the object 104.
  • At least one protrusion is different from the other protrusions and can slide faster than the other protrusions when being sheared.
  • a plurality of deformation detection sensors 204 are arranged, it has a structure capable of detecting the slip of the object.
  • a slippery protrusion with the object 104 is referred to as a slip detection protrusion 202
  • the other protrusion, that is, a protrusion less slippery than the slip detection protrusion 202 is referred to as a grip protrusion 201.
  • the deformation detection sensor 204 needs to be disposed at least on the slip detection projection 202. However, by disposing the deformation detection sensor 204 also on the holding projection 201, the holding force and the shearing force can be calculated with higher accuracy.
  • each projection is shown as a substantially rectangular shape, but the present invention is not limited to this, as long as it is a member that protrudes from the fixed base and is deformed by receiving a gripping force or a shearing force Example: circular, triangular) is not limited.
  • the projections are arranged in 3 ⁇ 3 is shown in FIG. 2, it is also possible to arrange fewer (at least 2 ⁇ 2) or more projections.
  • the protrusions may be arranged by other arrangement such as concentric or spiral. It is desirable that each projection be disposed at a predetermined gap, and be configured not to be affected by the deformation of the other projections.
  • the sensor unit 103 is not limited to being on a plane, and may be disposed on a curved surface. Further, the grip portion 100 may be used as the fixed base 203.
  • FIG. 3 is a view showing the configuration of the periphery of the slip detection protrusion 202 shown in FIG.
  • the slip detection projection 202 receives a shear force along the grip surface from the object to be deformed, and the deformation detection sensor 204 receives the deformation to be strained, thereby detecting the shear force.
  • four deformation detection sensors (two 204a and two 204b) are arranged horizontally on each side of the substantially rectangular projection.
  • a sensor that detects a shear force in the Y direction is a deformation detection sensor 204a
  • a sensor that detects a shear force in the X direction is a deformation detection sensor 204b.
  • the gripping force (Z direction) can be calculated from all the sensors.
  • the deformation detection sensors 204a and 204b are not limited to the arrangement of FIG. 3, and may be an arrangement capable of detecting a gripping force and a shearing force.
  • strain gauges can be used as the deformation detection sensors 204a and 204b.
  • various other configurations can be adopted.
  • MEMS Micro-Electro Mechanical Systems
  • FIG. 4 shows an example of the sensor unit 103 in which the protrusions are arranged in 5 ⁇ 5.
  • a plurality of slip detection projections 202 are provided as illustrated in FIG. 4, one slip detection projection 202 is generated because the surface of the target object 104 has unevenness when gripping the target object 104. Slip detection is possible from the average of the signals of the other slip detection projections 202 in contact with the object 104 without contact with them.
  • FIG. 5 shows an example of a process for slip detection.
  • FIG. 6 is a flowchart of this process.
  • the position, shape, hardness, and weight of the object 104 are estimated by an optical sensor (not shown) to estimate an initial gripping force.
  • the arm 102 moves the hand 101 to the vicinity of the target object 104, and the hand 101 grips the target object 104 with the estimated gripping force (FIG. 5a, 601 to 603).
  • the arm 102 lifts the object 104 from the ground 507 by the movement of the Y axis (FIG. 5b, 604 to 605).
  • the gripping force of the hand 101 is gradually decreased (FIG. 5c, 606), and when the slip of the slip detection protrusion 202 is detected by the deformation detection sensor 204 (FIG. 5d, 607) Stop reducing power.
  • the gripping force at this time is a gripping force immediately before the gripping projection 201 slips, and is a gripping force close to the minimum necessary for gripping the object 104.
  • the object can be gripped with a gripping force close to the minimum, and the gripped object can be gripped without slipping or breaking.
  • FIG. 7 shows an example of the signal of the slip detection projection 202 when the process shown in FIGS. 5 and 6 is performed.
  • the force Fz in the Z direction gradually increases until the movement of the hand 101 is stopped after the slip detection projection 202 contacts the object 104.
  • the force Fy in the Y direction increases until the object 104 is completely lifted.
  • Fz gradually decreases as the distance between the hands gradually increases.
  • the frictional force between the slip detection projection 202 and the object 104 also gradually decreases, and when the frictional force becomes lower than the shear force, Fy decreases rapidly.
  • the timing at which the Fy signal changes is when the slip detection projection 202 slips. Since the hand operation is stopped when a sharp drop in Fy is detected, the signals of Fz and Fy become constant thereafter.
  • the Fz signal at this time corresponds to a gripping force close to the minimum for grasping the object 104.
  • the gripping force close to the minimum can be detected more accurately.
  • the surface friction lower than the grip protrusion 201 that is, the slip detection protrusion 202 having a low coefficient of friction, or shear rigidity higher than the grip protrusion 201 It may be a slip detection projection 202 having
  • the first method is to change the surface finish (roughness) of the protrusions while using the same shape and material.
  • a smooth surface (lower coefficient of friction) slip detection protrusion 202 can slide faster than the gripping protrusion 201 when subjected to the same amount of shear stress.
  • the second method is to use a material with a lower coefficient of friction for the slip detection protrusions 202.
  • This method has the same effect as the first method, but since the coefficient of friction depends on the interaction between the projection and the object, it should be taken into account that the coefficient differs depending on the object to be handled . Therefore, the friction coefficient of the slip detection projection 202 may be smaller in one target object than in the grip projection 201, and may be larger in another target object.
  • Examples of materials that can be used for producing the protrusion include silicone for the slip detection protrusion 202 and Teflon (registered trademark) for the gripping protrusion 201.
  • the first method is to make the length L of the entire protrusion from the fixed base the same, and to make the contact area A of the slip detection protrusion 202 with the object larger.
  • the slip detection projection 202 having higher shear rigidity is considered, considering that all the projections are deformed in the same manner (.DELTA.Y displacement of the coordinate axis Y shown in FIG. 5 is the same). Since the friction force is more quickly overcome than the gripping projection 201 by generating a larger shear force, it slides faster. Therefore, it is desirable that the slip detection projection 202 be shaped such that the contact area A with the object becomes large.
  • the second method is to use a more rigid material for the slip detection projection 202.
  • Materials that are more rigid generate higher shear than other materials and slide faster than other materials when subjected to the same amount of shear stress. As mentioned above, different materials have different coefficients of friction, so they should be taken into consideration when selecting materials for both types of protrusions. Examples of materials that can be used for producing the protrusions include silicone with low polymerization agent for the slip detection projections 202 and silicone with high polymerization agent for the gripping projections 201.
  • FIG. 8 is a flowchart in the case where the ratio of the rigidity of the slip detection protrusion 202 and the grip protrusion 201 is set.
  • 801 to 808 are equal to 601 to 608 in FIG. 6, and 809 and 810 are processes of the tolerance calculation means 113.
  • a method of calculating the degree of freedom will be described.
  • the slip of the slip detection projection 202 is detected, and the gripping force close to the minimum is detected. Then, using the data on the rigidity of each projection in the database 111, based on the gripping force close to the minimum calculated by the slip detecting means 112, until the object slips from the gripping projection 201, that is, the sliding of the contact surface Calculate the margin until occurrence (809 to 810). Furthermore, although not shown, a minimum gripping force which is a gripping force just before the occurrence of the slip of the contact surface is calculated based on the gripping force close to the minimum and the calculated latitude. Then, the calculated tolerance or minimum gripping force is stored in the database 111 of the controller 108 (811).
  • the tolerance calculation means 113 calculates the tolerance to slip of the contact surface.
  • the slip detection system of the present invention it is possible to obtain a gripping force close to the minimum that the object does not slip with high accuracy, simplicity and low cost.
  • the minimum gripping force can be calculated and fed back to the gripping mechanism or to a device that requires slip detection.
  • the locations of the slip detection means 112 and the tolerance calculation means 113 are not limited to this, and the CPU 109 may play the roles of the slip detection means 112 and the tolerance calculation means 113.
  • the slip detection system of the present invention does not necessarily have to be used by the gripping mechanism and the robotic hand, but can be used with any device that requires slip detection.
  • a method of using the slip detection system with the robot leg 901 of a walking robot (not shown) is shown.
  • the robot leg 901 detects slippage between the ground 507 and the robot leg rather than the object. If sliding can not be detected properly, the walking robot may lose its balance and fall. Since recent walking robots need to walk on various ground conditions, it is important to detect the slip of the robot legs 901.
  • the sensor unit 103 is disposed at a portion of the robot leg 901 that is in contact with the ground as shown in FIG.
  • FIG. 10 shows the slip detection process in robot leg 901.
  • shear force detection is started between the robot leg 901 and the ground 507 (1001 to 1002).
  • shear force detection is performed until a sharp drop occurs in the shear force signal of the slip detection projection 202 (1002 to 1003), and if the shear force signal suddenly drops, the information is fed back to the control system of the walking robot (1003 to 1004).
  • the control system uses the information on the slip to take balance stabilization measures so as not to lose the balance of the traveling robot (1005).
  • a balance stabilization measure is a method of detecting the direction in which the slip detection projection 202 slips, and moving another robot leg 901 in the opposite direction.
  • the robot leg 901 shown in FIG. 9 not only the configuration of the robot leg 901 shown in FIG. 9 but also other robot legs can be used. Further, without being limited to the shape and size of the ground 507 shown in FIG. 9, any shape and size may be used as long as slippage can be detected by the method described in the first embodiment. However, the smaller the entire protrusion of the sensor unit 103, the smaller the measurement error regarding the shape of the robot. Therefore, the sensor unit 103 having a smaller protrusion is preferable.
  • FIGS. A third embodiment of the present invention will be described with reference to FIGS. This example shows how to use a slip detection system on a tire.
  • ABS antilock brake system
  • ABS is often used as a vehicle safety mechanism, but it relies on the actual occurrence of wheel slippage and experimentally defined thresholds.
  • the system may malfunction because the system is not equipped with a sensor that actually detects tire slip. Therefore, the present invention is useful for tire slip detection.
  • the slip of the tire 1101 can be detected, and this information can be fed back to the vehicle brake control system. Then, the ABS can be used instead of the used threshold to prevent the malfunction of the ABS.
  • the slip detection process of the tire 1101 will be described with reference to FIG. After the movement of the vehicle is started, detection of the shear force of the tire 1101 is started (1201 to 1202). Thereafter, shear force detection is performed until the shear force signal of the slip detection projection 202 is sharply dropped (1202 to 1203), and if the shear force signal is sharply dropped, the information is fed back to the vehicle brake control system ( 1203-1204). The control system then uses the information on the slip to reduce the braking force of the tire 1101 that has been slip detected such that the tire 1101 is not locked (1205).
  • the slip detection system is used for a vehicle tire, but is not limited to the vehicle.
  • Slip detection systems are used in all systems where it is necessary to prevent wheel slip.
  • wear on the protrusions is also reduced, so that the ability to detect slip can be maintained.
  • Reference Signs List 100 grip unit 101 hand 102 arm 103 sensor unit 104 object 105 drive unit 106 arm drive unit 107 amplifier 108 controller 109 CPU 110 memory 111 database 112 slip detection means 113 tolerance calculation means 201 grip projection 202 slip detection projection 203 fixed base 204 deformation detection sensor 204a Y direction deformation detection sensor 204b X direction deformation detection sensor 507 ground 601 to 609 Near grip force detection sequence 801 to 809 Sequence for detection and margin calculation of grip force close to minimum 901 Robot leg 1001 to 1004 Robot leg slip detection sequence 1101 Tire 1201 to 1205 Tire slip detection sequence

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Automation & Control Theory (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Manipulator (AREA)
  • Force Measurement Appropriate To Specific Purposes (AREA)

Abstract

The present invention calculates approximately the minimum grip force necessary to prevent an object from slipping, and to do so with high accuracy and a simple configuration. This slippage detection system is provided with a plurality of projections, a deformation detection sensor 204, and a slippage detection means 112. The deformation detection sensor 204 is disposed in at least one of the plurality of projections. Slippage between the object and a projection 202 provided with the deformation detection sensor 204 occurs more easily as compared to a projection 201 that is not provided with the deformation detection sensor 204. The slippage detection means 112 uses a value from the deformation detection sensor 204 to calculate a first grip force for when slippage occurs between the object and the projection 202 with the deformation detection sensor 204 disposed thereon.

Description

滑り検出システムSlip detection system

 本発明は、滑り検知システムに関する。
 本願は、日本に2017年7月12日に出願された特願2017-135868を基礎としてその優先権を主張するものであり、当該基礎日本出願の内容は全て、本願に取り込まれ、本願の内容をなすものである。
The present invention relates to a slip detection system.
This application claims the priority based on Japanese Patent Application No. 2017-135868 filed on Jul. 12, 2017 in Japan, the entire contents of the basic Japanese application are incorporated in the present application, and the contents of the present application. It is

 把持機構(ロボットハンドとも呼ぶ)は,生産ラインや検査ラインにおける自動化ロボットや,自律移動型ロボットが把持物を持ち運ぶために利用される。把持機構の把持対象は、硬さ、重さ、形状、大きさなどが異なる様々な把持物であるため、把持物を滑らさずにまたは壊さずに把持するためにはそれを検出するセンシングシステムが必要となる。 A gripping mechanism (also referred to as a robot hand) is used by automated robots in production lines and inspection lines, and autonomous mobile robots to carry gripping objects. The grasping object of the grasping mechanism is various grasping objects which differ in hardness, weight, shape, size, etc. A sensing system for detecting the grasping object in order to grasp it without slipping or breaking it Is required.

 把持物の滑りを検出する従来のセンシングシステムには、把持物と把持機構間の接触(把持力、せん断力)を検出するセンサと把持物との接触を必要としない光学式のセンサの例が挙げられる。 In the conventional sensing system for detecting the slip of the grasped object, an example of an optical sensor that does not require the contact between the grasped object and the sensor that detects the contact between the grasped object and the grasping mechanism (gripping force, shear force) It can be mentioned.

 例えば,特許文献1には、複数のセンサユニットをマトリクス状に配列させており、各センサユニットに内蔵されている複数の歪センサによって物体の重心位置を算出し、それによって適切な力にハンドの握力を調整する技術が提示されている。また、特許文献2には、複数の接触センサと光学式滑りセンサモジュールをハンド部に配置しており、接触センサを用いて操作物体の位置を検知し、操作物体の位置と、光学式滑りセンサモジュールによって検知した滑り検知ポイントが一致するように制御する技術が提示されている。 For example, in Patent Document 1, a plurality of sensor units are arranged in a matrix, and the barycentric position of an object is calculated by a plurality of strain sensors incorporated in each sensor unit, whereby the appropriate force is obtained by Techniques for adjusting grip are presented. Further, in Patent Document 2, a plurality of contact sensors and an optical slip sensor module are disposed in the hand unit, and the position of the operation object is detected using the contact sensor, and the position of the operation object and the optical slip sensor Techniques have been presented to control slip detection points detected by the modules to coincide.

特開2008-281403号公報JP, 2008-281403, A 特開2012-228764号公報JP 2012-228764 A

 様々な被対象物を適切に把持するためには、被対象物が滑らない最小に近い把持力及び滑るまでの裕度を検出する必要がある。特許文献1のように、複数の同一のセンサユニットを使用する場合、被対象物の重心位置が変化するほどの大きな滑りが発生しないと滑りの検出ができないため、被対象物が滑らない最小に近い把持力を検出することが困難である。 In order to properly grip various objects, it is necessary to detect a gripping force close to the minimum at which the objects do not slip and a tolerance for slipping. In the case of using a plurality of identical sensor units as in Patent Document 1, the slip can not be detected unless a large slip occurs such that the position of the center of gravity of the object changes, so the object does not slip. It is difficult to detect close gripping forces.

 また、特許文献2のように、複数の接触センサと共に光学式滑りセンサを使用する場合は、被対象物の滑り検出精度がイメージセンサの性能に依存するため、高精度に滑り検出を行う場合、素子が大きく高性能なイメージセンサが必要となり高コストとなる。 In the case of using an optical slip sensor together with a plurality of contact sensors as in Patent Document 2, the slip detection accuracy of the object depends on the performance of the image sensor, and therefore, when the slip detection is performed with high accuracy, A large element requires a high performance image sensor, resulting in high cost.

 本発明は、高精度かつシンプルな構成で被対象物が滑らない最小に近い把持力を算出することを目的とする。 An object of the present invention is to calculate a gripping force close to the minimum at which an object does not slip with high accuracy and a simple configuration.

 上記課題を解決するために、本発明は例えば以下の特徴を有する。 In order to solve the above-mentioned subject, the present invention has the following features, for example.

 複数の突起と、変形検出センサと、滑り検出手段とを備え、複数の突起の内の少なくとも一つに変形検出センサが配置され、変形検出センサが配置されていない突起と比べて、変形検出センサが配置された突起は被対象物との間で滑りやすく、滑り検出手段は、変形検出センサの値によって変形検出センサが配置された突起と被対象物との間で滑りが生じた際の第一の把持力を算出する。 A deformation detection sensor comprising a plurality of projections, a deformation detection sensor, and a slip detection means, wherein the deformation detection sensor is disposed on at least one of the plurality of projections, and the deformation detection sensor is not disposed. When the protrusion on which the object is placed slips easily with the object, the slip detection means causes a slip between the object on which the deformation detection sensor is placed and the object depending on the value of the deformation detection sensor. Calculate one grip force.

 本発明によれば、複数突起の内の滑りやすい構成を有する突起の滑り検出により、高精度かつシンプルな構成で被対象物が滑らない最小に近い把持力を算出することができる。上記した以外の課題、構成及び効果は以下の実施形態の説明により明らかにされる。 According to the present invention, by detecting the slippage of a protrusion having a slippery structure among a plurality of protrusions, it is possible to calculate a gripping force close to the minimum with which the object does not slip with high accuracy and a simple structure. Problems, configurations, and effects other than those described above will be apparent from the description of the embodiments below.

第1実施形態の把持機構の模式図である。It is a schematic diagram of the holding mechanism of 1st Embodiment. センサ部の模式図である。It is a schematic diagram of a sensor part. センサ部の滑り検出用突起の拡大模式図である。It is an expansion mimetic diagram of a slip detection projection of a sensor part. 突起を5x5に並べたセンサ部の模式図である。It is a schematic diagram of a sensor part which arranged a projection 5x5. 最小に近い把持力の検出プロセスの模式図である。It is a schematic diagram of the detection process of the gripping force near minimum. 最小に近い把持力の検出プロセスのシーケンス図である。It is a sequence diagram of the detection process of the gripping force near minimum. 検出用突起が検出した把持力(Fz)とY方向せん断力(Fy)の信号図である。It is a signal figure of the holding force (Fz) which the processus | protrusion for detection detected, and a Y direction shear force (Fy). 最小に近い把持力の検出と裕度算出プロセスのシーケンス図である。It is a sequence diagram of detection and tolerance calculation process of gripping force near minimum. 第2実施形態のロボット脚の模式図である。It is a schematic diagram of the robot leg of 2nd Embodiment. 第2実施形態のタイヤの滑り検出プロセスの模式図である。It is a schematic diagram of the slip detection process of the tire of 2nd Embodiment. 第3実施形態のタイヤの模式図である。It is a schematic diagram of the tire of 3rd Embodiment. 第3実施形態のタイヤの滑り検出プロセスの模式図である。It is a schematic diagram of the slip detection process of the tire of 3rd Embodiment.

 以下、本発明の形態を図面に従い説明する。以下の説明は本発明の内容の具体例を示すものであり、本発明がこれらの説明に限定されるものではなく、本明細書に開示される技術的思想の範囲内において当業者による様々な変更および修正が可能である。また、本発明を説明するための全図において、同様の機能を有するものは、同様の符号を付け、同様の説明は繰り返さない場合がある。 Hereinafter, embodiments of the present invention will be described with reference to the drawings. The following description shows specific examples of the content of the present invention, and the present invention is not limited to these descriptions, and various modifications by those skilled in the art can be made within the scope of the technical idea disclosed herein. Changes and modifications are possible. Further, in all the drawings for explaining the present invention, components having similar functions are denoted by the same reference numerals, and the same description may not be repeated.

 本発明の第一の実施形態を図1から図7を参照し説明する。 A first embodiment of the present invention will be described with reference to FIGS.

 図1は、本発明の第一実施形態に係る把持機構の構成の例を示した図である。 FIG. 1 is a view showing an example of the configuration of a gripping mechanism according to a first embodiment of the present invention.

 図1に示すように、把持機構は、把持を実行するためのハンド101と、ハンド101を被対象物104に接近させるアーム102から構成される。ハンド101には、ハンドの開閉動作を可能とする駆動部105と、被対象物を把持する把持部100と、把持部100に配置されていて被対象物の滑りを検知するセンサ部103が備わっている。アーム102には、アーム102の三次元動作を可能とするアーム駆動部106が備わっている。駆動部105とアーム駆動部106はアンプ107を介してコントローラ108から制御される。コントローラ108内にはCPU109と、メモリ110と、滑り検出手段112と、裕度算出手段113とを搭載し、メモリ110内にはデータベース111を備える。 As shown in FIG. 1, the gripping mechanism includes a hand 101 for performing gripping, and an arm 102 for causing the hand 101 to approach the object 104. The hand 101 includes a drive unit 105 that enables the opening and closing operation of the hand, a grip unit 100 that grips an object, and a sensor unit 103 that is disposed in the grip unit 100 and that detects slippage of the object. ing. The arm 102 is provided with an arm drive unit 106 which enables three-dimensional movement of the arm 102. The drive unit 105 and the arm drive unit 106 are controlled by the controller 108 via the amplifier 107. In the controller 108, a CPU 109, a memory 110, a slip detection means 112, and a margin calculation means 113 are mounted, and in the memory 110, a database 111 is provided.

 なお、図1は、被対象物104を把持する把持機構を単純化して示した図であり、本発明が適用できる滑り検出システムはこのような把持機構に限定されるものではない。特にハンド101については、人間の手のように複数本の指を有し、その各指にセンサ部103を設けた構成も可能である。その場合、小さな被対象物104であればハンドの2本の指で、その被対象物104を把持し、大きな被対象物104であればハンド101の3本以上の指で把持するなど、判断させてもよい。さらに、大きな被対象物104であれば、複数の把持機構を用いて把持しても良い。また、全ての指にセンサ部103を設ける必要はなく、滑りを検出するのに必要な指にセンサ部103を設ければよい。逆に、最も単純な構成としては、図1のようなハンド101であり、把持面の少なくとも一方にセンサ部103を設ければよい。 FIG. 1 is a view schematically showing a gripping mechanism that grips the target object 104, and a slip detection system to which the present invention can be applied is not limited to such a gripping mechanism. In particular, the hand 101 may have a plurality of fingers like human hands, and the sensor unit 103 may be provided on each finger. In that case, if the small object 104 is gripped by the two fingers of the hand, the object 104 is grasped by the two fingers of the hand 101 if the object is large 104, etc. You may Furthermore, in the case of a large object 104, gripping may be performed using a plurality of gripping mechanisms. Further, it is not necessary to provide the sensor unit 103 on all the fingers, and the sensor unit 103 may be provided on the finger necessary to detect slippage. Conversely, the simplest configuration is the hand 101 as shown in FIG. 1, and the sensor unit 103 may be provided on at least one of the gripping surfaces.

 図2は,本実施形態に係るセンサ部103の構成を示す図である。図2は、被対象物104との接触面が上になるようにセンサ部103を表わした図である。接触面とは、被対象物とセンサ部103が接触した際の面であり、具体的にはセンサ部103に設置されている把持用突起201や滑り検出用突起202と、被対象物104が接触した際の面である。ハンド101の場合、把持面とも言う。 FIG. 2 is a diagram showing the configuration of the sensor unit 103 according to the present embodiment. FIG. 2 is a diagram showing the sensor unit 103 such that the contact surface with the object 104 is on the top. The contact surface is a surface when the object and the sensor unit 103 contact, and more specifically, the holding projection 201 and the slip detection projection 202 installed in the sensor unit 103, and the object 104 It is the surface when it contacts. In the case of the hand 101, it is also referred to as a gripping surface.

 センサ部103は、ハンドが被対象物と接触する面に貼りつけられる固定基部203と、固定基部203にマトリクス状に(縦横に)配列される複数の突起201~202と、複数の突起201~202の変形を検出する変形検出センサ204を備える。複数の突起201~202は、被対象物104との接触面を形成する。 The sensor unit 103 includes a fixed base 203 attached to the surface where the hand contacts the object, a plurality of protrusions 201 to 202 arranged in a matrix (in the vertical and horizontal directions) on the fixed base 203, and a plurality of protrusions 201 to A deformation detection sensor 204 that detects deformation of 202 is provided. The plurality of protrusions 201 to 202 form a contact surface with the object 104.

 本発明においては、図2に示すように、少なくとも1つの突起が他の突起とは異なり、せん断応力がかけられた際、他の突起よりも早く滑ることができる。また、変形検出センサ204が複数配置されているため、被対象物の滑りを検出可能な構造を有する。被対象物104との間で滑りやすい突起を滑り検出用突起202と呼び、その他の突起、つまり滑り検出用突起202よりも滑りにくい突起を把持用突起201と呼ぶこととする。本発明では、少なくとも滑り検出用突起202に変形検出センサ204が配置される必要がある。しかし、把持用突起201にも変形検出センサ204を配置することで、把持力、せん断力をより良い精度で算出できる。 In the present invention, as shown in FIG. 2, at least one protrusion is different from the other protrusions and can slide faster than the other protrusions when being sheared. In addition, since a plurality of deformation detection sensors 204 are arranged, it has a structure capable of detecting the slip of the object. A slippery protrusion with the object 104 is referred to as a slip detection protrusion 202, and the other protrusion, that is, a protrusion less slippery than the slip detection protrusion 202 is referred to as a grip protrusion 201. In the present invention, the deformation detection sensor 204 needs to be disposed at least on the slip detection projection 202. However, by disposing the deformation detection sensor 204 also on the holding projection 201, the holding force and the shearing force can be calculated with higher accuracy.

 図2において、各々の突起は略矩形に示しているが、本発明はこれに限定されるものではなく、固定基部から突出し、把持力若しくはせん断力を受けて変形する部材であれば、形状(例:円形、三角形)は限定しない。また、図2では、突起を3×3に並べた例を示したが、より少なく(少なくとも2×2の並び)、またはより多くの突起を並べても良い。同心円状や渦巻き状など、他の並べ方によって突起を配置しても良い。各々の突起は、所定の間隙で配置しており、他の突起の変形の影響を受けない構成が望ましい。このセンサ部103は、平面上に限らず、曲面上に配置してもよい。また、把持部100を固定基部203として活用してもよい。 In FIG. 2, each projection is shown as a substantially rectangular shape, but the present invention is not limited to this, as long as it is a member that protrudes from the fixed base and is deformed by receiving a gripping force or a shearing force Example: circular, triangular) is not limited. Further, although an example in which the projections are arranged in 3 × 3 is shown in FIG. 2, it is also possible to arrange fewer (at least 2 × 2) or more projections. The protrusions may be arranged by other arrangement such as concentric or spiral. It is desirable that each projection be disposed at a predetermined gap, and be configured not to be affected by the deformation of the other projections. The sensor unit 103 is not limited to being on a plane, and may be disposed on a curved surface. Further, the grip portion 100 may be used as the fixed base 203.

 図3は、図2に示された滑り検出用突起202の周辺の構成を示す図である。滑り検出用突起202は把持面に沿ったせん断力を被対象物から受けて変形し、変形検出センサ204が変形を受けて歪むことによってせん断力を検出する。各軸の変形を検出するため、図3では、4つの変形検出センサ(204aが2つと204bが2つ)が略矩形の突起の各側に水平方向に配置されている。Y方向のせん断力を検出するセンサは変形検出センサ204aであり、X方向のせん断力を検出するセンサは変形検出センサ204bである。把持力(Z方向)は全てのセンサから算出可能である。なお、変形検出センサ204aと204bは図3の配置に限らず、把持力及びせん断力を検出可能な配置であればよい。 FIG. 3 is a view showing the configuration of the periphery of the slip detection protrusion 202 shown in FIG. The slip detection projection 202 receives a shear force along the grip surface from the object to be deformed, and the deformation detection sensor 204 receives the deformation to be strained, thereby detecting the shear force. In order to detect the deformation of each axis, in FIG. 3, four deformation detection sensors (two 204a and two 204b) are arranged horizontally on each side of the substantially rectangular projection. A sensor that detects a shear force in the Y direction is a deformation detection sensor 204a, and a sensor that detects a shear force in the X direction is a deformation detection sensor 204b. The gripping force (Z direction) can be calculated from all the sensors. The deformation detection sensors 204a and 204b are not limited to the arrangement of FIG. 3, and may be an arrangement capable of detecting a gripping force and a shearing force.

 変形検出センサ204aと204bには、例えば歪みゲージを用いることができる。しかし、それ以外にも様々な構成を採用することが可能である。例えば、Micro-Electro Mechanical Systems(MEMS)技術により、歪みゲージの代わりにシリコンピエゾ抵抗等を用いれば、滑り検出用突起202をセンサ部103と共により微小化することが可能である。 For example, strain gauges can be used as the deformation detection sensors 204a and 204b. However, various other configurations can be adopted. For example, it is possible to further miniaturize the slip detection projection 202 together with the sensor unit 103 by using silicon piezoresistor or the like instead of the strain gauge by the Micro-Electro Mechanical Systems (MEMS) technology.

 図4は、突起を5×5に並べたセンサ部103の例を示す。図4のように複数の滑り検出用突起202を備えると、被対象物104を把持する際に、被対象物104の表面が凹凸を有していることが原因で1つの滑り検出用突起202と接触せずとも、被対象物104と接触した他の滑り検出用突起202の信号の平均から、滑り検出が可能である。 FIG. 4 shows an example of the sensor unit 103 in which the protrusions are arranged in 5 × 5. When a plurality of slip detection projections 202 are provided as illustrated in FIG. 4, one slip detection projection 202 is generated because the surface of the target object 104 has unevenness when gripping the target object 104. Slip detection is possible from the average of the signals of the other slip detection projections 202 in contact with the object 104 without contact with them.

 図5は、滑り検出するためのプロセスの例を示す図である。図6は、このプロセスのフローチャートを示す図である。 FIG. 5 shows an example of a process for slip detection. FIG. 6 is a flowchart of this process.

 最初に、図示しない光学的センサによって被対象物104の位置、形状、硬さ、重さが推定され、初期把持力を推定する。そして、アーム102はハンド101を被対象物104付近まで移動させ、ハンド101は推定した把持力で被対象物104を把持する(図5a、601~603)。そして、アーム102はY軸の動きで被対象物104を地面507から持ち上げる(図5b、604~605)。被対象物104を持ち上げた後、ハンド101の把持力を徐々に減少し(図5c、606)、滑り検出用突起202の滑りを変形検出センサ204で検出した時(図5d、607)、把持力の減少を停止する。この時の把持力は把持用突起201が滑る直前の把持力であり、被対象物104を把持するために必要な最小に近い把持力である。これによって、被対象物を最小に近い把持力で把持することができ、把持物を滑らさずにまたは壊さずに把持できる。 First, the position, shape, hardness, and weight of the object 104 are estimated by an optical sensor (not shown) to estimate an initial gripping force. Then, the arm 102 moves the hand 101 to the vicinity of the target object 104, and the hand 101 grips the target object 104 with the estimated gripping force (FIG. 5a, 601 to 603). Then, the arm 102 lifts the object 104 from the ground 507 by the movement of the Y axis (FIG. 5b, 604 to 605). After lifting the object 104, the gripping force of the hand 101 is gradually decreased (FIG. 5c, 606), and when the slip of the slip detection protrusion 202 is detected by the deformation detection sensor 204 (FIG. 5d, 607) Stop reducing power. The gripping force at this time is a gripping force immediately before the gripping projection 201 slips, and is a gripping force close to the minimum necessary for gripping the object 104. Thereby, the object can be gripped with a gripping force close to the minimum, and the gripped object can be gripped without slipping or breaking.

 そして、この情報をデータベース111に保存することで、この被対象物104を扱える把持力として記録する(608、609)。606~609は図1に示した滑り検出手段112のプロセスである。 Then, by storing this information in the database 111, it is recorded as a gripping force that can handle the object 104 (608, 609). 606 to 609 are the processes of the slip detection means 112 shown in FIG.

 図7は、図5および図6に示されるプロセスが実行された時の滑り検出用突起202の信号の例を示す。把持中に、滑り検出用突起202が被対象物104に接触してからハンド101の動作が止まるまで、Z方向の力Fzは徐々に増加する。その後、Y方向の力Fyは、被対象物104が完全に持ち上げられるまで増加する。その後、ハンド間の距離が徐々に増加するにつれて、Fzは徐々に減少する。Fzが徐々に減少するにつれて、滑り検出用突起202と被対象物104との間の摩擦力も徐々に減っていき、摩擦力がせん断力より低くなると、Fyが急速に低下する。このFyの信号が変化したタイミングが、滑り検出用突起202が滑ったときである。Fyの急低下を検出した場合にハンド動作を停止するので、そのあとFz、Fyの信号は一定となる。この時のFz信号が、被対象物104を把握する最小に近い把持力に相当する。 FIG. 7 shows an example of the signal of the slip detection projection 202 when the process shown in FIGS. 5 and 6 is performed. During gripping, the force Fz in the Z direction gradually increases until the movement of the hand 101 is stopped after the slip detection projection 202 contacts the object 104. Thereafter, the force Fy in the Y direction increases until the object 104 is completely lifted. Thereafter, Fz gradually decreases as the distance between the hands gradually increases. As Fz gradually decreases, the frictional force between the slip detection projection 202 and the object 104 also gradually decreases, and when the frictional force becomes lower than the shear force, Fy decreases rapidly. The timing at which the Fy signal changes is when the slip detection projection 202 slips. Since the hand operation is stopped when a sharp drop in Fy is detected, the signals of Fz and Fy become constant thereafter. The Fz signal at this time corresponds to a gripping force close to the minimum for grasping the object 104.

 滑り検出用突起202周辺にある把持用突起201にも変形検出センサ204を追加することで、最小に近い把持力をより正確に検出できる。 By adding the deformation detection sensor 204 also to the gripping projection 201 around the slip detecting projection 202, the gripping force close to the minimum can be detected more accurately.

 滑り検出用突起202を把持用突起201よりも滑りやすくするには、把持用突起201より低い表面摩擦、つまり摩擦係数が低い滑り検出用突起202とするか、または把持用突起201より高いせん断剛性を有する滑り検出用突起202とすればよい。 In order to make the slip detection protrusion 202 more slippery than the grip protrusion 201, the surface friction lower than the grip protrusion 201, that is, the slip detection protrusion 202 having a low coefficient of friction, or shear rigidity higher than the grip protrusion 201 It may be a slip detection projection 202 having

 より低い表面摩擦を有する滑り検出用突起202を作製するために、以下の2つの方法が挙げられる。 The following two methods may be mentioned in order to make the slip detection projection 202 having lower surface friction.

 第1の方法は、同じ形状と材料を使用しながら、突起の表面仕上げ(粗さ)を変えることである。滑らかな表面(より低い摩擦係数)の滑り検出用突起202では、同じ値のせん断応力を受けたときに把持用突起201より早く滑らせることが可能である。 The first method is to change the surface finish (roughness) of the protrusions while using the same shape and material. A smooth surface (lower coefficient of friction) slip detection protrusion 202 can slide faster than the gripping protrusion 201 when subjected to the same amount of shear stress.

 第2の方法は、より低い摩擦係数の材料を滑り検出用突起202に用いることである。この方法は第1の方法と同様の効果を有するが、摩擦係数は突起と被対象物との相互作用に依存することから、取り扱う被対象物に応じて係数が異なることが考慮されなければならない。したがって、ある被対象物では滑り検出用突起202の摩擦係数が把持用突起201に比べて小さくなり、別の被対象物では、それがより大きくなる場合がある。突起の作製に使用できる材料の一例としては、滑り検出用突起202用としてはシリコーン、把持用突起201用としてはテフロン(登録商標)が挙げられる。 The second method is to use a material with a lower coefficient of friction for the slip detection protrusions 202. This method has the same effect as the first method, but since the coefficient of friction depends on the interaction between the projection and the object, it should be taken into account that the coefficient differs depending on the object to be handled . Therefore, the friction coefficient of the slip detection projection 202 may be smaller in one target object than in the grip projection 201, and may be larger in another target object. Examples of materials that can be used for producing the protrusion include silicone for the slip detection protrusion 202 and Teflon (registered trademark) for the gripping protrusion 201.

 より高いせん断剛性を有する把持用突起201を作製するために、以下の2つの方法が挙げられる。 The following two methods may be mentioned in order to produce a gripping projection 201 having higher shear rigidity.

 第1の方法は、突起全体の固定基部からの長さLを同じにし、滑り検出用突起202との被対象物との接触面積Aをより大きくすることである。せん断剛性は、
K = GA / cL
で表され、突起全体のせん断剛性率G(材料に依存)、形状係数c(形状に依存)や固定基部からの長さLが同じであれば、滑り検出用突起202の接触面積Aをより大きくすることによって、滑り検出用突起202のせん断剛性Kは高くなる。せん断力は、
F = KΔY
で表され、被対象物を扱う時、すべての突起が同じように変形することを考慮すれば(図5で示す座標軸YのΔY変位が同じ)、より高いせん断剛性を有する滑り検出用突起202は、より大きいせん断力を生成することで、把持用突起201よりも早く摩擦力を上回るため、より早く滑る。よって、滑り検出用突起202は、被対象物との接触面積Aが大きくなるような形状が望ましい。
The first method is to make the length L of the entire protrusion from the fixed base the same, and to make the contact area A of the slip detection protrusion 202 with the object larger. Shear stiffness is
K = GA / cL
If the shear rigidity G of the entire projection (depending on the material), the shape factor c (depending on the shape) and the length L from the fixed base are the same, the contact area A of the projection for slip detection 202 is By increasing the size, the shear rigidity K of the slip detection projection 202 is increased. The shear force is
F = KΔY
In the case of handling an object, the slip detection projection 202 having higher shear rigidity is considered, considering that all the projections are deformed in the same manner (.DELTA.Y displacement of the coordinate axis Y shown in FIG. 5 is the same). Since the friction force is more quickly overcome than the gripping projection 201 by generating a larger shear force, it slides faster. Therefore, it is desirable that the slip detection projection 202 be shaped such that the contact area A with the object becomes large.

 第2の方法は、より剛性が高い材料を滑り検出用突起202に用いることである。より剛性が高い材料は、他の材料よりも高いせん断力を生成し、同じ値のせん断応力を受けると、他の材料よりも早く滑る。前述のように、異なる材料は異なる摩擦係数を有するため、両種類の突起の材料を選択する際に考慮すべきである。突起の作製に使用できる材料の一例は、滑り検出用突起202用としては重合剤の低いシリコーン、把持用突起201用としては重合剤の高いシリコーンが挙げられる。 The second method is to use a more rigid material for the slip detection projection 202. Materials that are more rigid generate higher shear than other materials and slide faster than other materials when subjected to the same amount of shear stress. As mentioned above, different materials have different coefficients of friction, so they should be taken into consideration when selecting materials for both types of protrusions. Examples of materials that can be used for producing the protrusions include silicone with low polymerization agent for the slip detection projections 202 and silicone with high polymerization agent for the gripping projections 201.

 滑り検出用突起202の剛性を他の突起よりも早く滑らせるように変化させた場合には、滑り検出用突起202と把持用突起201の剛性の割合を設定することにより、被対象物がハンドから完全に滑るまで裕度を知ることができる。これによって、ハンドの把持量を何パーセント低減してしまうと、ハンドから被対象物が滑るかが分かるため、より適切と安全に被対象物を扱うことができる。例えば、滑り検出用突起202の剛性k1と把持用突起201の剛性k2との比をk1:k2=1:0.8とすると、滑り検出用突起202が滑った時、把持用突起201が滑るまでの裕度は20%である。よって、把持力を20%低減しても、被対象物は滑らない。 
 図8は、滑り検出用突起202と把持用突起201の剛性の割合を設定した場合のフローチャートである。本フローチャートの801~808は図6の601~608と等しく、809と810は裕度算出手段113のプロセスである。以下、裕度を算出する方法を説明する。
When the rigidity of the slip detection projection 202 is changed so as to slide earlier than the other projections, the object is the hand by setting the ratio of the rigidity of the slip detection projection 202 and the grip projection 201. You can know your degree until you slip completely. As a result, it is possible to handle the target more appropriately and safely because it is possible to know how much the object slips from the hand when the grip amount of the hand is reduced by a percentage. For example, when the ratio of the rigidity k1 of the slip detection projection 202 to the rigidity k2 of the grip projection 201 is k1: k2 = 1: 0.8, the grip projection 201 slips when the slip detection projection 202 slips. The margin to reach is 20%. Therefore, even if the gripping force is reduced by 20%, the object does not slip.
FIG. 8 is a flowchart in the case where the ratio of the rigidity of the slip detection protrusion 202 and the grip protrusion 201 is set. In the flowchart, 801 to 808 are equal to 601 to 608 in FIG. 6, and 809 and 810 are processes of the tolerance calculation means 113. Hereinafter, a method of calculating the degree of freedom will be described.

 まず、図6と同様に滑り検出用突起202の滑りを検出し、最小に近い把持力を検出する。そして、データベース111にある、各突起の剛性に関するデータを用い、滑り検出手段112が算出した最小に近い把持力に基づいて、被対象物が把持用突起201から滑るまで、つまり接触面の滑りの発生までの裕度を算出する(809~810)。さらに、図示はしていないが、最小に近い把持力と、算出した裕度とに基づいて、接触面の滑りが発生しない寸前の把持力である最小把持力を算出する。そして、算出された裕度または最小把持力を、コントローラ108のデータベース111に保存する(811)。 First, as in FIG. 6, the slip of the slip detection projection 202 is detected, and the gripping force close to the minimum is detected. Then, using the data on the rigidity of each projection in the database 111, based on the gripping force close to the minimum calculated by the slip detecting means 112, until the object slips from the gripping projection 201, that is, the sliding of the contact surface Calculate the margin until occurrence (809 to 810). Furthermore, although not shown, a minimum gripping force which is a gripping force just before the occurrence of the slip of the contact surface is calculated based on the gripping force close to the minimum and the calculated latitude. Then, the calculated tolerance or minimum gripping force is stored in the database 111 of the controller 108 (811).

 また、滑り検出用突起202周辺にある把持用突起201にも変形検出センサ204を追加した場合、つまり滑りやすさが異なる突起に対して変形検出センサ204が配置されている場合、それぞれの突起の配置された変形検出センサ204の値に基づいて裕度算出手段113は接触面の滑りまでの裕度を算出する。 In addition, when the deformation detection sensor 204 is added to the grip projections 201 around the slip detection projection 202, that is, when the deformation detection sensor 204 is disposed with respect to the projections having different slipperiness, Based on the value of the arranged deformation detection sensor 204, the tolerance calculation means 113 calculates the tolerance to slip of the contact surface.

 以上のように、本発明の滑り検出システムによれば、高精度、シンプルかつ低コストで被対象物が滑らない最小に近い把持力をできる。さらに、最小把持力を算出でき、把持機構または滑り検出が必要な装置にフィードバックすることできる。 As described above, according to the slip detection system of the present invention, it is possible to obtain a gripping force close to the minimum that the object does not slip with high accuracy, simplicity and low cost. In addition, the minimum gripping force can be calculated and fed back to the gripping mechanism or to a device that requires slip detection.

 なお、CPU109が滑り検出手段112と裕度算出手段113の役割を果たしても良いなど、滑り検出手段112と裕度算出手段113の場所はこれに限定されない。 The locations of the slip detection means 112 and the tolerance calculation means 113 are not limited to this, and the CPU 109 may play the roles of the slip detection means 112 and the tolerance calculation means 113.

 本発明の第二の実施形態を図9と図10を参照し説明する。 A second embodiment of the present invention will be described with reference to FIGS.

 本発明の滑り検出システムは、必ずしも把持機構及びロボットハンドによって使用される必要はなく、滑り検出を必要とする任意の装置でも使用できる。この例では、滑り検出システムを歩行ロボット(図示せず)のロボット脚901で使用する方法を示す。 The slip detection system of the present invention does not necessarily have to be used by the gripping mechanism and the robotic hand, but can be used with any device that requires slip detection. In this example, a method of using the slip detection system with the robot leg 901 of a walking robot (not shown) is shown.

 ロボット脚901では、被対象物ではなく地面507とロボット脚との間での滑りを検出する。滑りを適切に検出できない場合、歩行ロボットのバランスが崩れてしまい、転倒する恐れがある。最近の歩行ロボットは、様々な地面条件で歩行する必要があるため、ロボット脚901の滑りを検出することは重要である。 The robot leg 901 detects slippage between the ground 507 and the robot leg rather than the object. If sliding can not be detected properly, the walking robot may lose its balance and fall. Since recent walking robots need to walk on various ground conditions, it is important to detect the slip of the robot legs 901.

 ロボット脚901の滑りを検出するために、センサ部103を、図9に示すようにロボット脚901の地面と接触する部分に配置する。 In order to detect the slip of the robot leg 901, the sensor unit 103 is disposed at a portion of the robot leg 901 that is in contact with the ground as shown in FIG.

 図10は、ロボット脚901における滑り検出プロセスを示す。歩行ロボットが一歩動作をし始めてから、ロボット脚901と地面507との間にせん断力検出を開始する(1001~1002)。その後、滑り検出用突起202のせん断力信号に急低下が発生するまでせん断力検出を行い(1002~1003)、せん断力信号に急低下が発生すれば、その情報を歩行ロボットの制御システムにフィードバックする(1003~1004)。そして、制御システムはその滑りの情報を用いて、走行ロボットのバランスを崩れないようにバランス安定化対策を行う(1005)。バランス安定化対策の一例は、滑り検出用突起202が滑った方向を検出し、その反対方向に別のロボット脚901を移動する方法がある。 FIG. 10 shows the slip detection process in robot leg 901. After the walking robot starts to move one step, shear force detection is started between the robot leg 901 and the ground 507 (1001 to 1002). After that, shear force detection is performed until a sharp drop occurs in the shear force signal of the slip detection projection 202 (1002 to 1003), and if the shear force signal suddenly drops, the information is fed back to the control system of the walking robot (1003 to 1004). Then, the control system uses the information on the slip to take balance stabilization measures so as not to lose the balance of the traveling robot (1005). One example of a balance stabilization measure is a method of detecting the direction in which the slip detection projection 202 slips, and moving another robot leg 901 in the opposite direction.

 本発明では、図9に示すロボット脚901の構成に限らず、他のロボット脚でも使用できる。また、図9に示している地面507の形状と寸法に限らず、実施例1に記載した方法で滑りを検出できれば、どのような形状と寸法でも良い。しかし、センサ部103の突起全体が小さければ小さいほど、ロボットの形状に関する測定誤差が小さくなるので、小さい突起を有するセンサ部103のほうが望ましい。 In the present invention, not only the configuration of the robot leg 901 shown in FIG. 9 but also other robot legs can be used. Further, without being limited to the shape and size of the ground 507 shown in FIG. 9, any shape and size may be used as long as slippage can be detected by the method described in the first embodiment. However, the smaller the entire protrusion of the sensor unit 103, the smaller the measurement error regarding the shape of the robot. Therefore, the sensor unit 103 having a smaller protrusion is preferable.

 以上のように、滑り検出システムをロボット脚901に使用すれば、ロボット脚901の滑り情報を制御システムにフィードバックすることで、歩行ロボット転倒によるダメージを予防できる。 As described above, when the slip detection system is used for the robot leg 901, it is possible to prevent the damage due to the walking robot falling by feeding back the slide information of the robot leg 901 to the control system.

 本発明の第三の実施形態を図11と図12を参照し説明する。 本例ではタイヤに滑り検出システムを使用する方法を示す。 A third embodiment of the present invention will be described with reference to FIGS. This example shows how to use a slip detection system on a tire.

 車両のタイヤの滑りが発生する時、車両の制御を失うため、人の命を危険にさらす事故につながる恐れがある。タイヤの滑りを防ぐために、アンチロックブレーキシステム(ABS)が用いされている。ABSは一つの車輪が他の車輪よりも遅く回転していることを検出し、それを車輪のロックと解釈し、その車輪のブレーキ力を1秒間に複数回加減させ、滑りを防止させるシステムである。この回転検出は、システムの誤動作を回避するために、車輪速度センサおよび各車輪の回転速度の差のしきい値によって実行される。 When a tire of a vehicle slips, it loses control of the vehicle, which may lead to an accident that puts a person's life at risk. An antilock brake system (ABS) is used to prevent tire slippage. ABS detects that one wheel is rotating slower than the other wheels, interprets it as a lock on the wheel, and adjusts the braking force of that wheel multiple times per second to prevent slippage. is there. This rotation detection is performed by means of the wheel speed sensor and the threshold of the difference in the rotational speed of each wheel in order to avoid a malfunction of the system.

 ABSは車両の安全メカニズムとしてよく使用されているが、車輪の実際の滑り発生と実験によって定義されたしきい値に依存する。そのシステムはタイヤの滑りを実際に検出するセンサが備えられていないため、システムが誤動作する可能性がある。そのため、タイヤ滑り検出のために本発明は有用である。 ABS is often used as a vehicle safety mechanism, but it relies on the actual occurrence of wheel slippage and experimentally defined thresholds. The system may malfunction because the system is not equipped with a sensor that actually detects tire slip. Therefore, the present invention is useful for tire slip detection.

 センサ部103を図11のようにタイヤ1101表面に取り付けることによって、タイヤ1101の滑りを検出することができ、この情報を車両ブレーキ制御システムにフィードバックできる。そうすると、ABSが使用されている閾値の代わりに利用でき、ABSの誤動作を防ぐことができる。 By attaching the sensor unit 103 to the surface of the tire 1101 as shown in FIG. 11, the slip of the tire 1101 can be detected, and this information can be fed back to the vehicle brake control system. Then, the ABS can be used instead of the used threshold to prevent the malfunction of the ABS.

 図11でタイヤ1101の滑り検出プロセスを説明する。車両の移動を開始してから、タイヤ1101のせん断力検出を開始する(1201~1202)。その後、滑り検出用突起202のせん断力信号に急低下が行うまでせん断力検出を行い(1202~1203)、せん断力信号に急低下が発生すれば、その情報を車両ブレーキ制御システムにフィードバックする(1203~1204)。そして、制御システムはその滑りの情報を用いて、タイヤ1101がロックされないように滑り検出されたタイヤ1101のブレーキ力を低減する(1205)。 The slip detection process of the tire 1101 will be described with reference to FIG. After the movement of the vehicle is started, detection of the shear force of the tire 1101 is started (1201 to 1202). Thereafter, shear force detection is performed until the shear force signal of the slip detection projection 202 is sharply dropped (1202 to 1203), and if the shear force signal is sharply dropped, the information is fed back to the vehicle brake control system ( 1203-1204). The control system then uses the information on the slip to reduce the braking force of the tire 1101 that has been slip detected such that the tire 1101 is not locked (1205).

 この例では、滑り検出システムは車両のタイヤに使用されているが、車両に限定されるものではない。滑り検出システムは、車輪滑りを防止する必要のある全てのシステムに使用される。車輪付き人間共生ロボットのような車輪の摩耗が少ない装置で滑り検出システムを使用する場合、突起に摩耗も少なくなるため、滑り検出能力を維持できる。 In this example, the slip detection system is used for a vehicle tire, but is not limited to the vehicle. Slip detection systems are used in all systems where it is necessary to prevent wheel slip. When the slip detection system is used in a device with less wear on wheels, such as a humanoid robot with wheels, wear on the protrusions is also reduced, so that the ability to detect slip can be maintained.

100                把持部
101                ハンド
102                アーム
103                センサ部
104                被対象物
105                駆動部
106                アーム駆動部
107                アンプ
108                コントローラ
109                CPU
110                メモリ
111                データベース
112                滑り検出手段
113                裕度算出手段
201                把持用突起
202                滑り検出用突起
203                固定基部
204                変形検出センサ
204a              Y方向の変形検出センサ
204b              X方向の変形検出センサ
507                地面
601~609        最小に近い把持力の検出シーケンス
801~809        最小に近い把持力の検出と裕度算出のシーケンス
901                ロボット脚
1001~1004    ロボット脚の滑り検出シーケンス
1101              タイヤ
1201~1205  タイヤの滑り検出シーケンス
Reference Signs List 100 grip unit 101 hand 102 arm 103 sensor unit 104 object 105 drive unit 106 arm drive unit 107 amplifier 108 controller 109 CPU
110 memory 111 database 112 slip detection means 113 tolerance calculation means 201 grip projection 202 slip detection projection 203 fixed base 204 deformation detection sensor 204a Y direction deformation detection sensor 204b X direction deformation detection sensor 507 ground 601 to 609 Near grip force detection sequence 801 to 809 Sequence for detection and margin calculation of grip force close to minimum 901 Robot leg 1001 to 1004 Robot leg slip detection sequence 1101 Tire 1201 to 1205 Tire slip detection sequence

Claims (9)

 複数の突起と、変形検出センサと、滑り検出手段とを備え、
 前記複数の突起の内の少なくとも一つに前記変形検出センサが配置され、
 前記変形検出センサが配置されていない突起と比べて、前記変形検出センサが配置された突起は被対象物との間で滑りやすく、
 前記滑り検出手段は、前記変形検出センサの値によって前記変形検出センサが配置された突起と前記被対象物との間で滑りが生じた際の第一の把持力を算出することを特徴とする滑り検知システム。
A plurality of projections, a deformation detection sensor, and a slip detection means;
The deformation detection sensor is disposed on at least one of the plurality of protrusions.
The protrusion on which the deformation detection sensor is disposed is slippery between the object and the target in comparison with the protrusion on which the deformation detection sensor is not disposed.
The slip detection means is characterized by calculating a first gripping force when a slip occurs between the projection on which the deformation detection sensor is disposed and the object according to the value of the deformation detection sensor. Slip detection system.
 請求項1に記載の滑り検知システムにおいて、
 裕度算出手段を備え、
 前記裕度算出手段は、前記第一の把持力に基づいて、接触面の滑りの発生までの裕度を算出することを特徴とする滑り検知システム。
In the slip detection system according to claim 1,
Equipped with a margin calculation means,
The slip detection system, wherein the tolerance calculation means calculates a tolerance to occurrence of slip of the contact surface based on the first grip force.
 請求項2に記載の滑り検出システムにおいて、
 前記裕度算出手段は、前記第一の把持力と前記裕度とに基づいて、第二の把持力を算出することを特徴とする滑り検知システム。
In the slip detection system according to claim 2,
The slip detection system according to claim 1, wherein the tolerance calculation means calculates a second gripping force based on the first gripping force and the tolerance.
 請求項1に記載の滑り検出システムにおいて、
 前記変形検出センサが配置された突起は、前記変形検出センサが配置されていない突起よりもせん断剛性が高いことを特徴とする滑り検知システム。
In the slip detection system according to claim 1,
A slip detection system characterized in that a protrusion in which the deformation detection sensor is disposed has higher shear rigidity than a protrusion in which the deformation detection sensor is not disposed.
 請求項1に記載の滑り検出システムにおいて、
 前記変形検出センサが配置された突起は、前記変形検出センサが配置されていない突起よりも摩擦係数が低いことを特徴とする滑り検知システム。
In the slip detection system according to claim 1,
A slip detection system characterized in that a protrusion on which the deformation detection sensor is disposed has a lower coefficient of friction than a protrusion on which the deformation detection sensor is not disposed.
 請求項1に記載の滑り検出システムにおいて、
 裕度算出手段を備え、
 前記複数の突起の内、滑りやすさが異なる第1の突起および第2の突起に対して前記変形検出センサが備えられ、
 前記裕度算出手段は、前記第1の突起および前記第2の突起に対する前記変形検出センサの出力に基づいて、接触面の滑りの発生までの裕度を算出することを特徴とする滑り検知システム。
In the slip detection system according to claim 1,
Equipped with a margin calculation means,
The deformation detection sensor is provided for a first protrusion and a second protrusion having different slipperiness among the plurality of protrusions.
The slip detection system, wherein the tolerance calculation means calculates the tolerance to occurrence of slip of the contact surface based on the output of the deformation detection sensor with respect to the first protrusion and the second protrusion. .
 請求項1に記載の滑り検出システムにおいて、
 前記変形検出センサには、シリコンピエゾ抵抗が使用されることを特徴とする滑り検知システム。
In the slip detection system according to claim 1,
A slip detection system characterized in that a silicon piezoresistor is used for the deformation detection sensor.
 請求項1に記載の滑り検出システムにおいて、
 前記変形検出センサが配置されていない突起と比べて、前記変形検出センサが配置された突起は前記被対象物との接触面積が大きくなるような形状であることを特徴とする滑り検知システム。
In the slip detection system according to claim 1,
A slip detection system characterized in that a protrusion on which the deformation detection sensor is disposed has a shape in which a contact area with the object is larger than a protrusion on which the deformation detection sensor is not disposed.
 請求項1に記載の滑り検出システムにおいて、
 前記複数の突起はマトリクス状に配列されていることを特徴とする滑り検出システム。
In the slip detection system according to claim 1,
The slip detection system, wherein the plurality of protrusions are arranged in a matrix.
PCT/JP2018/009340 2017-07-12 2018-03-09 Slippage detection system Ceased WO2019012736A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2017-135868 2017-07-12
JP2017135868A JP6827381B2 (en) 2017-07-12 2017-07-12 Slip detection system

Publications (1)

Publication Number Publication Date
WO2019012736A1 true WO2019012736A1 (en) 2019-01-17

Family

ID=65002495

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2018/009340 Ceased WO2019012736A1 (en) 2017-07-12 2018-03-09 Slippage detection system

Country Status (2)

Country Link
JP (1) JP6827381B2 (en)
WO (1) WO2019012736A1 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019244710A1 (en) * 2018-06-22 2019-12-26 ソニー株式会社 Slipping detection device
CN112692854A (en) * 2020-12-11 2021-04-23 合肥工业大学 Flexible manipulator
CN113950396A (en) * 2019-06-05 2022-01-18 索尼集团公司 Control device, control method, and program

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021015025A1 (en) * 2019-07-23 2021-01-28 ソニー株式会社 Control device, control method, and control program
US11607816B2 (en) 2019-10-25 2023-03-21 Dexterity, Inc. Detecting robot grasp of very thin object or feature
US11772262B2 (en) 2019-10-25 2023-10-03 Dexterity, Inc. Detecting slippage from robotic grasp
JP7480600B2 (en) * 2020-06-11 2024-05-10 セイコーエプソン株式会社 Method for setting upper limit of target force and robot system
KR102364156B1 (en) * 2020-07-17 2022-02-17 부산대학교 산학협력단 Robot hand comprising a plurality of air pressure sensors and method for detecting slip thereof
CN112060123A (en) * 2020-09-07 2020-12-11 苏州国岭技研智能科技有限公司 Flat-clamping touch mechanical claw device and using method
EP4245483A4 (en) 2020-11-10 2024-04-24 Sony Group Corporation INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM
AU2021413988A1 (en) * 2020-12-29 2023-07-06 Cascade Corporation Pivoting load-bearing assembly with force sensor
JPWO2022239462A1 (en) * 2021-05-11 2022-11-17

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63134929A (en) * 1986-11-07 1988-06-07 クリスタル インスツルメンテ アクチエンゲゼルシャフト Multielement dynamometer
JP2008281403A (en) * 2007-05-09 2008-11-20 Univ Of Tokyo Shear force detection device and object gripping system
JP2013096884A (en) * 2011-11-02 2013-05-20 Seiko Epson Corp Detection device, electronic apparatus and robot

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009255191A (en) * 2008-04-14 2009-11-05 Canon Inc Robot manipulator
JP5253293B2 (en) * 2009-05-20 2013-07-31 株式会社豊田自動織機 Friction coefficient identification method, grip control method, robot hand and program for performing this grip control method
JP5498227B2 (en) * 2010-03-30 2014-05-21 本田技研工業株式会社 Slip detection device and slip detection method
JP2015009326A (en) * 2013-06-28 2015-01-19 キヤノン株式会社 Robot hand and gripping method for gripping workpiece with robot hand
JP6682074B2 (en) * 2015-11-12 2020-04-15 アダマンド並木精密宝石株式会社 Gripping device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63134929A (en) * 1986-11-07 1988-06-07 クリスタル インスツルメンテ アクチエンゲゼルシャフト Multielement dynamometer
JP2008281403A (en) * 2007-05-09 2008-11-20 Univ Of Tokyo Shear force detection device and object gripping system
JP2013096884A (en) * 2011-11-02 2013-05-20 Seiko Epson Corp Detection device, electronic apparatus and robot

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019244710A1 (en) * 2018-06-22 2019-12-26 ソニー株式会社 Slipping detection device
CN112334746A (en) * 2018-06-22 2021-02-05 索尼公司 Slip detection device
EP3812729A4 (en) * 2018-06-22 2021-08-25 Sony Group Corporation SLIP DETECTION DEVICE
US20210260776A1 (en) * 2018-06-22 2021-08-26 Sony Corporation Slip detecting device
CN112334746B (en) * 2018-06-22 2022-08-26 索尼公司 Slip detection device
US11981026B2 (en) 2018-06-22 2024-05-14 Sony Corporation Slip detecting device
CN113950396A (en) * 2019-06-05 2022-01-18 索尼集团公司 Control device, control method, and program
CN113950396B (en) * 2019-06-05 2024-04-02 索尼集团公司 Control device, control method, and program
US12226908B2 (en) 2019-06-05 2025-02-18 Sony Group Corporation Control device, control method, and program
CN112692854A (en) * 2020-12-11 2021-04-23 合肥工业大学 Flexible manipulator
CN112692854B (en) * 2020-12-11 2022-04-01 合肥工业大学 a flexible manipulator

Also Published As

Publication number Publication date
JP6827381B2 (en) 2021-02-10
JP2019018253A (en) 2019-02-07

Similar Documents

Publication Publication Date Title
WO2019012736A1 (en) Slippage detection system
US4605354A (en) Slip sensitive robot gripper system
CN108349090B (en) System and method for providing contact detection in an articulated arm
JP5187552B2 (en) Control device and method, program, and recording medium
US7984658B2 (en) Detecting device
KR102322405B1 (en) Wafer handling traction control system
JP4833853B2 (en) Vehicle rollover prevention monitor using kinetic energy and lateral acceleration
JP2020069640A5 (en)
US20170129523A1 (en) Handcart
CN110480628B (en) Robot, control device and robot control method
US8949044B2 (en) Control device, control method and program
CN104044141A (en) Robot system and method for controlling robot system
KR20130136477A (en) Method and device for controlling a peripheral component of a robot system
CN111867791B (en) Control device, control method, and program
JP2019155542A (en) Conveyance device, conveyance system, controller, and conveyance method
CN114750768A (en) Vehicle state estimation device, vehicle state estimation method, and non-transitory computer-readable storage medium
US20250162177A1 (en) Gripping control method of robot hand
KR102695661B1 (en) Control device, control method and program
EP3546135A1 (en) Collaborative robot system
Koda et al. Grasping force control in master-slave system with partial slip sensor
JP5167077B2 (en) Mobile body and control method thereof
Sugaiwa et al. A methodology for setting grasping force for picking up an object with unknown weight, friction, and stiffness
KR20220149083A (en) Method for providing feedback regarding mobility operating
US20250196334A1 (en) Control apparatus, robot control system, and method for controlling robot
EP3546134A1 (en) Collaborative robot system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18831761

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18831761

Country of ref document: EP

Kind code of ref document: A1