US20190011919A1 - Autonomous drone and tool selection and delivery - Google Patents
Autonomous drone and tool selection and delivery Download PDFInfo
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- US20190011919A1 US20190011919A1 US16/130,540 US201816130540A US2019011919A1 US 20190011919 A1 US20190011919 A1 US 20190011919A1 US 201816130540 A US201816130540 A US 201816130540A US 2019011919 A1 US2019011919 A1 US 2019011919A1
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- drones
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0011—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement
- G05D1/0027—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement involving a plurality of vehicles, e.g. fleet or convoy travelling
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
Definitions
- This invention relates generally to service drones and, more specifically, autonomous delivery of drones.
- FIG. 1 depicts a portion of an autonomous vehicle 110 transporting drones and tools, according to some embodiments
- FIG. 2 is a block diagram of a system 200 for autonomously delivering drones and tools 216 , according to some embodiments.
- FIG. 3 is a flow diagram including example operations for autonomously delivering drones and tools, according to some embodiments.
- the system comprises an autonomous vehicle, wherein the autonomous vehicle is configured to transport the tools and the drones to a location, and wherein the autonomous vehicle includes a plurality of sensors configured to detect properties of the tools and the drones, the drones, the tools, and a control circuit, the control circuit configured to receive, from the sensors, indications of the properties of the tools and the drones, select, based on the service requests and the indications of the properties of the tools and the drones, at least one of the tools and at least one of the drones to perform at least one of the service requests, cause the at least one of the drones to be equipped with the at least one of the tools, and transmit instructions to the at least one of the drones, wherein the instructions are based on the at least one of the service requests.
- the currently available automated devices that perform tasks in and around a person's home, office, business, etc. are quite limited. Additionally, the existing automated devices perform only a single task. For example, while an automated vacuum may aid a person in maintaining the cleanliness of carpet in his or her home, the automated vacuum cannot easily perform any other tasks, such as mowing the person's lawn, trimming his or her hedges, etc. Consequently, a need exists for a system that can autonomously perform a wide variety of tasks in and around a person's home, office, and/or business.
- Embodiments of the systems, methods, and apparatuses described herein seek to provide more useful autonomous systems for performing tasks by autonomously providing a variety of drones and tools that can be used and operated by the drones.
- the system receives service requests and selects drones and tools based on the service requests.
- the service request can be for any type of task around a person's property, such as lawn care, monitoring, cleaning, painting, maintenance, etc.
- the system will select a drone that is appropriate for mowing the lawn (e.g., a drone with the ability to traverse grassy surfaces) as well as a tool appropriate for mowing a lawn (e.g., a blade tool that can be affixed to the selected drone).
- the system can assess properties associated with the tools and the drones (e.g., the condition, power availability, etc.) and include these properties when selecting drones and tools to perform the service request (i.e., tasks associated with the service request).
- properties associated with the tools and the drones e.g., the condition, power availability, etc.
- the discussion of FIG. 1 provides and overview of such a system.
- FIG. 1 depicts a portion of an autonomous vehicle 110 transporting drones and tools 112 , according to some embodiments.
- the autonomous vehicle 110 can be any type of vehicle (e.g., a land-based, aerial, or aquatic vehicle) suitable for carrying the drones and the tools 112 .
- the autonomous vehicle 110 depicted in FIG. 1 includes a flat surface or trailer for transporting the drones.
- the drones can include any suitable type of drone, such as land-based drones 104 , aerial drones 108 , and aquatic drones.
- the autonomous vehicle 110 also transports the tools 112 .
- the autonomous vehicle 110 can transport the tools 112 in a cabinet 102 , or other suitable compartment or container.
- the drones are configured to be equipped with the tools 112 .
- one of the aerial drones 108 can be equipped with a painting tool. So equipped, the one of the aerial drones 108 can apply paint to a surface, such as a house.
- the autonomous vehicle 100 can also manage, diagnose problems with, and maintain the drones, tools 112 , and service requests.
- the autonomous vehicle 110 also includes a plurality of sensors (e.g., cabinet-mounted sensors 114 ).
- the sensors are configured to detect properties of the tools 112 and the drones.
- the properties of the tools 112 and the drones can include availability of the tools 112 , condition of the tools 112 , type of the tools 112 , compatibility of the tools 112 with one or more of the drones, compatibility of the tools 112 with customer instructions, compatibility of the tools 112 with external conditions, availability of the drones, condition of the drones, type of the drones, compatibility of the drones with one or more of the tools 112 , compatibility of the drones with customer instructions, compatibility of the drones with external conditions, power level of the drones, conditions of the service, etc.
- the sensors can include optical sensors, auditory sensors, motion sensors, haptic sensors, weight sensors, temperature sensors, material sensors, etc.
- the sensors can be located on the autonomous vehicle 110 , on the drones, and/or on the tools 112 .
- a weight sensor located in the cabinet 102 can be used to determine if a tool is present, a voltmeter can be located on one of the drones to determine a power level of the drone, etc.
- the tools 112 are modular.
- each drone may have a common attachment type that allows attachments of any of the tools 112 to any of the drones.
- there may be a small number of attachment types e.g., three different attachment types).
- the tools 112 may be modular, but only capable of being connected to the correct attachment type.
- the drones and the tools 112 are determined based on the service requests and indications of the properties of the tools 112 and the drones.
- a service request may include two tasks: a first task to trim the hedges and a second task to wash the windows.
- An appropriate drone and an appropriate tool will be selected for each task, taking into consideration the properties of the tools 112 and the drones.
- both of the land-based drones 104 may be suitable for trimming the hedges.
- only one of the two land-based drones 104 has sufficient power reserves to complete the task. Consequently, that land-based drone 104 will be selected. This assessment can further be based on external information.
- the system can calculate how much power is required to complete the entire task.
- the system can also consider in the indications of the properties of the tools 112 . For example, if four hedge trimmer tools 112 are available, but only two are compatible with the selected drone, then one of those two will be selected. Further, if one of those two is dull, the system will select the sharper of the two to be used. The system can repeat this process and select an appropriate drone for the window washing task, possibly one of the aerial drones 108 , and an appropriate tool for the window washing task, possibly a squeegee-type tool.
- the system After selecting the drone and the tool, the system causes the drone to be equipped with the tool. Continuing the example above, the system causes the one of the land-based drones 104 with sufficient power reserves with the hedge trimmer tool that is both compatible with the selected drone and sharp.
- the system can select multiple drones and multiple tools 112 for a single task. For example, the system can select two drones to cooperatively use a single tool, two drones to use separate tools 112 to cooperatively complete a task, etc.
- the system After selecting the drones and the tools 112 , the system provides the drones with instructions to complete the service request. In some embodiments, the system monitors the drones' progress as the drones complete the service requests. For example, the system can monitor the properties of the tools 112 and the drones, customer feedback, environmental conditions, etc. while the drones complete the service tasks. If a change occurs, the system can react by modifying the instructions, selecting new drones, and/or selecting new tools 112 .
- FIG. 1 provides an overview of a system for selecting drones and tools for completing a task
- FIG. 2 provides greater detail about such a system.
- FIG. 2 is a block diagram of a system 200 for autonomously delivering drones and tools 216 , according to some embodiments.
- the system includes a control circuit 202 , an autonomous vehicle 204 , sensors 214 , and drones and tools 216 .
- the control circuit 202 can comprise a fixed-purpose hard-wired hardware platform (including but not limited to an application-specific integrated circuit (ASIC) (which is an integrated circuit that is customized by design for a particular use, rather than intended for general-purpose use), a field-programmable gate array (FPGA), and the like) or can comprise a partially or wholly-programmable hardware platform (including but not limited to microcontrollers, microprocessors, and the like).
- ASIC application-specific integrated circuit
- FPGA field-programmable gate array
- control circuit 202 is configured (for example, by using corresponding programming as will be well understood by those skilled in the art) to carry out one or more of the steps, actions, and/or functions described herein.
- control circuit 202 operably couples to a memory.
- the memory may be integral to the control circuit 202 or can be physically discrete (in whole or in part) from the control circuit 202 as desired.
- This memory can also be local with respect to the control circuit 202 (where, for example, both share a common circuit board, chassis, power supply, and/or housing) or can be partially or wholly remote with respect to the control circuit 202 (where, for example, the memory is physically located in another facility, metropolitan area, or even country as compared to the control circuit 202 ).
- This memory can serve, for example, to non-transitorily store the computer instructions that, when executed by the control circuit 202 , cause the control circuit 202 to behave as described herein.
- this reference to “non-transitorily” will be understood to refer to a non-ephemeral state for the stored contents (and hence excludes when the stored contents merely constitute signals or waves) rather than volatility of the storage media itself and hence includes both non-volatile memory (such as read-only memory (ROM) as well as volatile memory (such as an erasable programmable read-only memory (EPROM).
- ROM read-only memory
- EPROM erasable programmable read-only memory
- the control circuit 202 includes a drone and tool determination unit 208 and a transceiver 212 .
- the drone and tool determination unit 208 selects drones and tools.
- the drone and tool determination unit selects the drones and the tools based on service requests and indications of properties of the drones and the tools.
- the control circuit 202 receives the indications of the properties of the drones and the tools from the sensors 214 via the transceiver 212 .
- the sensors 214 can be any suitable type of sensor, such as optical sensors, auditory sensors, motion sensors, haptic sensors, weight sensors, temperature sensors, etc.
- the sensors 214 can be located on the autonomous vehicle 204 and/or the drones and tools 216 .
- the properties of the tools and the drones can include availability of the tools, condition of the tools, type of the tools, compatibility of the tools with one or more of the drones, compatibility of the tools with customer instructions, compatibility of the tools with external conditions, availability of the drones, condition of the drones, type of the drones, compatibility of the drones with one or more of the tools, compatibility of the drones with customer instructions, compatibility of the drones with external conditions, power level of the drones, etc.
- the control circuit 202 transmits instructions to the selected drones via the transceiver 212 .
- the instructions are based on the service requests.
- the instructions can include locations of the task to be located, special instructions for the tasks, parameters for the tasks, modifications based on external conditions, etc.
- the control circuit 202 can be located on the autonomous vehicle 204 or remotely from the autonomous vehicle 204 . In embodiments where the control circuit 202 is located remotely from the autonomous vehicle 204 , the control circuit 202 may be associated with multiple autonomous vehicles 204 . That is, the control circuit 202 may select drones and tools located on the multiple autonomous vehicles 204 . For example, the control circuit can perform such actions for a first group of service requests for a first autonomous vehicle 204 in a first location as well as for a second group of service requests for a second autonomous vehicle 204 in a second location.
- the system 200 also includes a remote serve 218 , such as a weather server (e.g., to provide weather information for the areas in which the drones and tools are to be used) or a customer information server (e.g., to provide customer profile information, such as an addresses, preferences, etc.).
- the remote server 218 provides external information to the control circuit 202 via the transceiver 212 .
- the drone and tool termination unit 208 can take into account information received from the remote server 218 when selecting drones and tools.
- FIG. 2 provides additional information about a system for selecting drones and tools for completing a task
- FIG. 3 describes example operations for selecting drones and tools for completing a task.
- FIG. 3 is a flow diagram including example operations for autonomously delivering drones and tools, according to some embodiments. The flow begins at block 302 .
- a control circuit can receive the service requests.
- the service requests include information about tasks to perform.
- the service request can include a location of a task to perform (e.g., a person's home, office, workplace, etc.), a task to perform (e.g., painting, cleaning, maintenance work, etc.), a time to complete the task, as well as any special instructions for completing the task (e.g., information required to gain access to the property).
- the control circuit can be local to an autonomous vehicle transporting drones and tools for completing tasks.
- the service requests can be routed to the autonomous vehicle based on the location of the autonomous vehicle, a proposed schedule for the autonomous vehicle, the drones and/or tools transported by the autonomous vehicle, the condition of the drones and/or tools transported by the autonomous vehicle, etc.
- the control circuit is remote from the autonomous vehicle. In such embodiments, the control circuit may receive service requests that will be completed by drones and tools associated with multiple autonomous vehicles. The flow continues at block 304 .
- the tools and the drones and the tools are transported to a location.
- the autonomous vehicle can transport the drones and the tools to the location.
- the location is based one or more service requests.
- the location could a home at which tasks associated with a service request are to be completed.
- the location could be a selected spot from which multiple drones and tools will be dispatched to completed tasks associated with multiple service requests (e.g., a location that is central to addresses associated with numerous service requests).
- the flow continues at block 306 .
- indications of properties of the drones and the tools are received.
- the control circuit can receive indications of the properties of the drones and the tools from sensors.
- the properties of the tools and the drones can include availability of the tools, condition of the tools, type of the tools, compatibility of the tools with one or more of the drones, compatibility of the tools with customer instructions, compatibility of the tools with external conditions, availability of the drones, condition of the drones, type of the drones, compatibility of the drones with one or more of the tools, compatibility of the drones with customer instructions, compatibility of the drones with external conditions, power level of the drones, etc.
- the properties of the tools can include restrictions on the usage of the tools and/or the drones. For example, certain ones of the drones may not be permitted to use ones of the tools, or certain tools may be restricted from use on certain projects. The flow continues at block 308 .
- drones and tools are selected.
- the control circuit can select the drones and the tools.
- the control circuit selects drones and tools that are suitable (i.e., appropriate from completing tasks associated with the service request).
- the control circuit can select the drones and the tools based on the service requests and the indications of the properties of the tools and the drones.
- the control circuit can select the drones and the tools based on weather, time of day, environmental conditions (a rocky or wet area), proximity of objects (e.g., how close a house is to a tree), and customer instructions, etc.
- the drone and/or the tool are selected based on prioritization and/or optimization of the tasks, tools, and drones.
- the choice between two or more similar options can be further refined through criteria.
- the criteria can be related to conditions, scheduling (e.g., anticipated availability of tools and/or drones), priority, a measure of suitability for the tasks (e.g., a small shovel tool is more suitable for planting flowers than a large shovel tool), etc.
- an indication can be transmitted if a suitable drone and/or tool cannot be selected.
- the notification can be transmitted to the customer, a central sever, etc. Based on this notification, performance of the tasks can be rescheduled or delayed, additional resources can be requested, etc.
- the drone is caused to be equipped with the tool.
- the control circuit can cause the drone to be equipped with the tool.
- the drone can be caused to be equipped with the tool by causing the tool to be placed at a retrieval point, causing the tool to be physically affixed or connected to the drone, and/or assigning the tool to the drone.
- the tools can be affixed or connected to the drones magnetically, mechanically, etc.
- the drones and tools can be modular so that each tool is compatible with a wide variety of drones. Additionally, in some embodiments, two or more drones can be equipped with a single tool and work cooperatively to operate the tool.
- the two or more drones can operate with a “master/slave” relationship in which one or more of the drones control the operation of one or more other drones with which they are operating cooperatively. Additionally, the drones can use blockchain as a secure mechanism for facilitating work between the two or more drones. The flow continues at block 312 .
- instructions are transmitted to the drone.
- the control circuit transmit the instructions to the drone.
- the instructions are based on the service requests.
- the instructions can include locations of the task to be located, special instructions for the tasks, parameters for the tasks, modifications based on external conditions, etc.
- the control circuit can monitor the drones and/or the tools while the drones are completing tasks based on the service requests.
- people i.e., customers
- the control circuit can update and provide new instructions to the drones based on a change in conditions, such as the weather, customer feedback, an additional task to be performed, etc.
- control circuit can transmit the instructions to a central server, the tools, and/or the customer. Further, if the instructions are updated (e.g., based on updates a remote server or the customer), the control circuit can transmit updating instructions to the drones.
- the drones after using the tools, return the tools to the autonomous vehicle.
- a drone can be unequipped with the tool and the tool can be returned to the autonomous vehicle.
- the drones can clean the tools before returning the tools to the autonomous vehicle.
- the drones can return the tools to a cabinet on the autonomous vehicle after the drone cleans the tools.
- the system comprises an autonomous vehicle, wherein the autonomous vehicle is configured to transport the tools and the drones to a location, and wherein the autonomous vehicle includes a plurality of sensors configured to detect properties of the tools and the drones, the drones, the tools, and a control circuit, the control circuit configured to receive, from the sensors, indications of the properties of the tools and the drones, select, based on the service requests and the indications of the properties of the tools and the drones, at least one of the tools and at least one of the drones to perform at least one of the service requests, cause the at least one of the drones to be equipped with the at least one of the tools, and transmit instructions to the at least one of the drones, wherein the instructions are based on the at least one of the service requests.
- an apparatus and a corresponding method performed by the apparatus comprises receiving service requests, transporting, via an autonomous vehicle, the tools and the drones to a location associated with at least one of the service requests, receiving, from a plurality of sensors associated with the autonomous vehicle, indications of properties of the tools and the drones, selecting, based on the at least one of the service requests and the indications of the properties of the tools and the drones, at least one of the tools and one of the drones to perform the at least one of the service requests, causing the at least one of the drones to be equipped with the at least one of the tools, and transmitting instructions to the at least one of the drones, wherein the instructions are based on the at least one of the service requests.
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Abstract
Description
- This application in Continuation Application of U.S. application Ser. No. 15/829,427, filed Dec. 1, 2017, which claims the benefit of U.S. Provisional Application No. 62/428,619, filed Dec. 1, 2016, which are all incorporated by reference in their entirety herein.
- This invention relates generally to service drones and, more specifically, autonomous delivery of drones.
- As everyday life gets busier and busier for many people, automated solutions to everyday tasks can provide relief. For example, if everyday chores were completed by automated systems, people would have more time to partake in activities that they enjoy. While some automated devices exist (e.g., vacuum systems), these devices are extremely task-specific and thus provide little or no versatility. Consequently, a need exists for more advanced systems that are capable of providing tools for, and adapting to, a large variety of tasks.
- Disclosed herein are embodiments of systems, apparatuses and methods pertaining selecting tools and drones for completing a task. This description includes drawings, wherein:
-
FIG. 1 depicts a portion of anautonomous vehicle 110 transporting drones and tools, according to some embodiments; -
FIG. 2 is a block diagram of asystem 200 for autonomously delivering drones andtools 216, according to some embodiments; and -
FIG. 3 is a flow diagram including example operations for autonomously delivering drones and tools, according to some embodiments. - Elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions and/or relative positioning of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of various embodiments of the present invention. Also, common but well-understood elements that are useful or necessary in a commercially feasible embodiment are often not depicted in order to facilitate a less obstructed view of these various embodiments of the present invention. Certain actions and/or steps may be described or depicted in a particular order of occurrence while those skilled in the art will understand that such specificity with respect to sequence is not actually required. The terms and expressions used herein have the ordinary technical meaning as is accorded to such terms and expressions by persons skilled in the technical field as set forth above except where different specific meanings have otherwise been set forth herein.
- Generally speaking, pursuant to various embodiments, systems, apparatuses, and methods are provided herein useful to selecting tools and drones for completing a task. In some embodiments, the system comprises an autonomous vehicle, wherein the autonomous vehicle is configured to transport the tools and the drones to a location, and wherein the autonomous vehicle includes a plurality of sensors configured to detect properties of the tools and the drones, the drones, the tools, and a control circuit, the control circuit configured to receive, from the sensors, indications of the properties of the tools and the drones, select, based on the service requests and the indications of the properties of the tools and the drones, at least one of the tools and at least one of the drones to perform at least one of the service requests, cause the at least one of the drones to be equipped with the at least one of the tools, and transmit instructions to the at least one of the drones, wherein the instructions are based on the at least one of the service requests.
- As previously discussed, the currently available automated devices that perform tasks in and around a person's home, office, business, etc. are quite limited. Additionally, the existing automated devices perform only a single task. For example, while an automated vacuum may aid a person in maintaining the cleanliness of carpet in his or her home, the automated vacuum cannot easily perform any other tasks, such as mowing the person's lawn, trimming his or her hedges, etc. Consequently, a need exists for a system that can autonomously perform a wide variety of tasks in and around a person's home, office, and/or business.
- Embodiments of the systems, methods, and apparatuses described herein seek to provide more useful autonomous systems for performing tasks by autonomously providing a variety of drones and tools that can be used and operated by the drones. The system receives service requests and selects drones and tools based on the service requests. The service request can be for any type of task around a person's property, such as lawn care, monitoring, cleaning, painting, maintenance, etc. For example, if the service request is to mow a lawn, the system will select a drone that is appropriate for mowing the lawn (e.g., a drone with the ability to traverse grassy surfaces) as well as a tool appropriate for mowing a lawn (e.g., a blade tool that can be affixed to the selected drone). Additionally, the system can assess properties associated with the tools and the drones (e.g., the condition, power availability, etc.) and include these properties when selecting drones and tools to perform the service request (i.e., tasks associated with the service request). The discussion of
FIG. 1 provides and overview of such a system. -
FIG. 1 depicts a portion of anautonomous vehicle 110 transporting drones andtools 112, according to some embodiments. Theautonomous vehicle 110 can be any type of vehicle (e.g., a land-based, aerial, or aquatic vehicle) suitable for carrying the drones and thetools 112. Theautonomous vehicle 110 depicted inFIG. 1 includes a flat surface or trailer for transporting the drones. The drones can include any suitable type of drone, such as land-baseddrones 104,aerial drones 108, and aquatic drones. In addition to transporting the drones, theautonomous vehicle 110 also transports thetools 112. For example, theautonomous vehicle 110 can transport thetools 112 in acabinet 102, or other suitable compartment or container. The drones are configured to be equipped with thetools 112. For example, one of theaerial drones 108 can be equipped with a painting tool. So equipped, the one of theaerial drones 108 can apply paint to a surface, such as a house. In addition to transporting the drones andtools 112, theautonomous vehicle 100 can also manage, diagnose problems with, and maintain the drones,tools 112, and service requests. - The
autonomous vehicle 110 also includes a plurality of sensors (e.g., cabinet-mounted sensors 114). The sensors are configured to detect properties of thetools 112 and the drones. For example, the properties of thetools 112 and the drones can include availability of thetools 112, condition of thetools 112, type of thetools 112, compatibility of thetools 112 with one or more of the drones, compatibility of thetools 112 with customer instructions, compatibility of thetools 112 with external conditions, availability of the drones, condition of the drones, type of the drones, compatibility of the drones with one or more of thetools 112, compatibility of the drones with customer instructions, compatibility of the drones with external conditions, power level of the drones, conditions of the service, etc. The sensors can include optical sensors, auditory sensors, motion sensors, haptic sensors, weight sensors, temperature sensors, material sensors, etc. The sensors can be located on theautonomous vehicle 110, on the drones, and/or on thetools 112. For example, a weight sensor located in thecabinet 102 can be used to determine if a tool is present, a voltmeter can be located on one of the drones to determine a power level of the drone, etc. - In some embodiments, the
tools 112 are modular. For example, each drone may have a common attachment type that allows attachments of any of thetools 112 to any of the drones. Alternatively, there may be a small number of attachment types (e.g., three different attachment types). In such embodiments thetools 112 may be modular, but only capable of being connected to the correct attachment type. - The drones and the
tools 112 are determined based on the service requests and indications of the properties of thetools 112 and the drones. For example, a service request may include two tasks: a first task to trim the hedges and a second task to wash the windows. An appropriate drone and an appropriate tool will be selected for each task, taking into consideration the properties of thetools 112 and the drones. For example, both of the land-baseddrones 104 may be suitable for trimming the hedges. However, only one of the two land-baseddrones 104 has sufficient power reserves to complete the task. Consequently, that land-baseddrone 104 will be selected. This assessment can further be based on external information. For example, if it is known that the person's house is quite large and includes extensive hedging, the system can calculate how much power is required to complete the entire task. In selecting the appropriate tool, the system can also consider in the indications of the properties of thetools 112. For example, if fourhedge trimmer tools 112 are available, but only two are compatible with the selected drone, then one of those two will be selected. Further, if one of those two is dull, the system will select the sharper of the two to be used. The system can repeat this process and select an appropriate drone for the window washing task, possibly one of theaerial drones 108, and an appropriate tool for the window washing task, possibly a squeegee-type tool. - After selecting the drone and the tool, the system causes the drone to be equipped with the tool. Continuing the example above, the system causes the one of the land-based
drones 104 with sufficient power reserves with the hedge trimmer tool that is both compatible with the selected drone and sharp. In some embodiments, the system can select multiple drones andmultiple tools 112 for a single task. For example, the system can select two drones to cooperatively use a single tool, two drones to useseparate tools 112 to cooperatively complete a task, etc. - After selecting the drones and the
tools 112, the system provides the drones with instructions to complete the service request. In some embodiments, the system monitors the drones' progress as the drones complete the service requests. For example, the system can monitor the properties of thetools 112 and the drones, customer feedback, environmental conditions, etc. while the drones complete the service tasks. If a change occurs, the system can react by modifying the instructions, selecting new drones, and/or selectingnew tools 112. - While the discussion of
FIG. 1 provides an overview of a system for selecting drones and tools for completing a task, the discussion ofFIG. 2 provides greater detail about such a system. -
FIG. 2 is a block diagram of asystem 200 for autonomously delivering drones andtools 216, according to some embodiments. The system includes acontrol circuit 202, anautonomous vehicle 204,sensors 214, and drones andtools 216. Thecontrol circuit 202 can comprise a fixed-purpose hard-wired hardware platform (including but not limited to an application-specific integrated circuit (ASIC) (which is an integrated circuit that is customized by design for a particular use, rather than intended for general-purpose use), a field-programmable gate array (FPGA), and the like) or can comprise a partially or wholly-programmable hardware platform (including but not limited to microcontrollers, microprocessors, and the like). These architectural options for such structures are well known and understood in the art and require no further description here. Thecontrol circuit 202 is configured (for example, by using corresponding programming as will be well understood by those skilled in the art) to carry out one or more of the steps, actions, and/or functions described herein. - By one optional approach the
control circuit 202 operably couples to a memory. The memory may be integral to thecontrol circuit 202 or can be physically discrete (in whole or in part) from thecontrol circuit 202 as desired. This memory can also be local with respect to the control circuit 202 (where, for example, both share a common circuit board, chassis, power supply, and/or housing) or can be partially or wholly remote with respect to the control circuit 202 (where, for example, the memory is physically located in another facility, metropolitan area, or even country as compared to the control circuit 202). - This memory can serve, for example, to non-transitorily store the computer instructions that, when executed by the
control circuit 202, cause thecontrol circuit 202 to behave as described herein. As used herein, this reference to “non-transitorily” will be understood to refer to a non-ephemeral state for the stored contents (and hence excludes when the stored contents merely constitute signals or waves) rather than volatility of the storage media itself and hence includes both non-volatile memory (such as read-only memory (ROM) as well as volatile memory (such as an erasable programmable read-only memory (EPROM). - The
control circuit 202 includes a drone andtool determination unit 208 and atransceiver 212. The drone andtool determination unit 208 selects drones and tools. The drone and tool determination unit selects the drones and the tools based on service requests and indications of properties of the drones and the tools. Thecontrol circuit 202 receives the indications of the properties of the drones and the tools from thesensors 214 via thetransceiver 212. Thesensors 214 can be any suitable type of sensor, such as optical sensors, auditory sensors, motion sensors, haptic sensors, weight sensors, temperature sensors, etc. Thesensors 214 can be located on theautonomous vehicle 204 and/or the drones andtools 216. The properties of the tools and the drones can include availability of the tools, condition of the tools, type of the tools, compatibility of the tools with one or more of the drones, compatibility of the tools with customer instructions, compatibility of the tools with external conditions, availability of the drones, condition of the drones, type of the drones, compatibility of the drones with one or more of the tools, compatibility of the drones with customer instructions, compatibility of the drones with external conditions, power level of the drones, etc. After selecting the drones and the tools to complete the service request (i.e., tasks associated with the service request), thecontrol circuit 202 transmits instructions to the selected drones via thetransceiver 212. The instructions are based on the service requests. For example, the instructions can include locations of the task to be located, special instructions for the tasks, parameters for the tasks, modifications based on external conditions, etc. - The
control circuit 202 can be located on theautonomous vehicle 204 or remotely from theautonomous vehicle 204. In embodiments where thecontrol circuit 202 is located remotely from theautonomous vehicle 204, thecontrol circuit 202 may be associated with multipleautonomous vehicles 204. That is, thecontrol circuit 202 may select drones and tools located on the multipleautonomous vehicles 204. For example, the control circuit can perform such actions for a first group of service requests for a firstautonomous vehicle 204 in a first location as well as for a second group of service requests for a secondautonomous vehicle 204 in a second location. - In some embodiments, the
system 200 also includes aremote serve 218, such as a weather server (e.g., to provide weather information for the areas in which the drones and tools are to be used) or a customer information server (e.g., to provide customer profile information, such as an addresses, preferences, etc.). Theremote server 218 provides external information to thecontrol circuit 202 via thetransceiver 212. In embodiments in which thesystem 200 includes theremote server 218, the drone andtool termination unit 208 can take into account information received from theremote server 218 when selecting drones and tools. - While the discussion of
FIG. 2 provides additional information about a system for selecting drones and tools for completing a task, the discussion ofFIG. 3 describes example operations for selecting drones and tools for completing a task. -
FIG. 3 is a flow diagram including example operations for autonomously delivering drones and tools, according to some embodiments. The flow begins atblock 302. - At
block 302, service requests are received. For example, a control circuit can receive the service requests. The service requests include information about tasks to perform. The service request can include a location of a task to perform (e.g., a person's home, office, workplace, etc.), a task to perform (e.g., painting, cleaning, maintenance work, etc.), a time to complete the task, as well as any special instructions for completing the task (e.g., information required to gain access to the property). The control circuit can be local to an autonomous vehicle transporting drones and tools for completing tasks. In such embodiments, the service requests can be routed to the autonomous vehicle based on the location of the autonomous vehicle, a proposed schedule for the autonomous vehicle, the drones and/or tools transported by the autonomous vehicle, the condition of the drones and/or tools transported by the autonomous vehicle, etc. In other embodiments, the control circuit is remote from the autonomous vehicle. In such embodiments, the control circuit may receive service requests that will be completed by drones and tools associated with multiple autonomous vehicles. The flow continues atblock 304. - At
block 304, the tools and the drones and the tools are transported to a location. For example, the autonomous vehicle can transport the drones and the tools to the location. The location is based one or more service requests. For example, the location could a home at which tasks associated with a service request are to be completed. Additionally, or alternatively, the location could be a selected spot from which multiple drones and tools will be dispatched to completed tasks associated with multiple service requests (e.g., a location that is central to addresses associated with numerous service requests). The flow continues atblock 306. - At
block 306, indications of properties of the drones and the tools are received. For example, the control circuit can receive indications of the properties of the drones and the tools from sensors. The properties of the tools and the drones can include availability of the tools, condition of the tools, type of the tools, compatibility of the tools with one or more of the drones, compatibility of the tools with customer instructions, compatibility of the tools with external conditions, availability of the drones, condition of the drones, type of the drones, compatibility of the drones with one or more of the tools, compatibility of the drones with customer instructions, compatibility of the drones with external conditions, power level of the drones, etc. Additionally, in some embodiments, the properties of the tools can include restrictions on the usage of the tools and/or the drones. For example, certain ones of the drones may not be permitted to use ones of the tools, or certain tools may be restricted from use on certain projects. The flow continues atblock 308. - At
block 308, drones and tools are selected. For example, the control circuit can select the drones and the tools. The control circuit selects drones and tools that are suitable (i.e., appropriate from completing tasks associated with the service request). For example, the control circuit can select the drones and the tools based on the service requests and the indications of the properties of the tools and the drones. Additionally, the control circuit can select the drones and the tools based on weather, time of day, environmental conditions (a rocky or wet area), proximity of objects (e.g., how close a house is to a tree), and customer instructions, etc. In some embodiments, the drone and/or the tool are selected based on prioritization and/or optimization of the tasks, tools, and drones. For example, the choice between two or more similar options can be further refined through criteria. The criteria can be related to conditions, scheduling (e.g., anticipated availability of tools and/or drones), priority, a measure of suitability for the tasks (e.g., a small shovel tool is more suitable for planting flowers than a large shovel tool), etc. Further, in some embodiments, an indication can be transmitted if a suitable drone and/or tool cannot be selected. For example, the notification can be transmitted to the customer, a central sever, etc. Based on this notification, performance of the tasks can be rescheduled or delayed, additional resources can be requested, etc. The flow continuous atblock 310. - A
block 310, the drone is caused to be equipped with the tool. For example, the control circuit can cause the drone to be equipped with the tool. The drone can be caused to be equipped with the tool by causing the tool to be placed at a retrieval point, causing the tool to be physically affixed or connected to the drone, and/or assigning the tool to the drone. The tools can be affixed or connected to the drones magnetically, mechanically, etc. The drones and tools can be modular so that each tool is compatible with a wide variety of drones. Additionally, in some embodiments, two or more drones can be equipped with a single tool and work cooperatively to operate the tool. In such embodiments, the two or more drones can operate with a “master/slave” relationship in which one or more of the drones control the operation of one or more other drones with which they are operating cooperatively. Additionally, the drones can use blockchain as a secure mechanism for facilitating work between the two or more drones. The flow continues atblock 312. - At
block 312, instructions are transmitted to the drone. For example, the control circuit transmit the instructions to the drone. The instructions are based on the service requests. For example, the instructions can include locations of the task to be located, special instructions for the tasks, parameters for the tasks, modifications based on external conditions, etc. In some embodiments, the control circuit can monitor the drones and/or the tools while the drones are completing tasks based on the service requests. Additionally, in some embodiments, people (i.e., customers) can monitors the drones' progress as well and provide feedback. In such embodiments, the control circuit can update and provide new instructions to the drones based on a change in conditions, such as the weather, customer feedback, an additional task to be performed, etc. In addition to transmitting the instructions to the drone, in some embodiments, the control circuit can transmit the instructions to a central server, the tools, and/or the customer. Further, if the instructions are updated (e.g., based on updates a remote server or the customer), the control circuit can transmit updating instructions to the drones. - In some embodiments, the drones, after using the tools, return the tools to the autonomous vehicle. For example, a drone can be unequipped with the tool and the tool can be returned to the autonomous vehicle. Additionally, the drones can clean the tools before returning the tools to the autonomous vehicle. As one example, the drones can return the tools to a cabinet on the autonomous vehicle after the drone cleans the tools.
- Those skilled in the art will recognize that a wide variety of other modifications, alterations, and combinations can also be made with respect to the above described embodiments without departing from the scope of the invention, and that such modifications, alterations, and combinations are to be viewed as being within the ambit of the inventive concept.
- In some embodiments, the system comprises an autonomous vehicle, wherein the autonomous vehicle is configured to transport the tools and the drones to a location, and wherein the autonomous vehicle includes a plurality of sensors configured to detect properties of the tools and the drones, the drones, the tools, and a control circuit, the control circuit configured to receive, from the sensors, indications of the properties of the tools and the drones, select, based on the service requests and the indications of the properties of the tools and the drones, at least one of the tools and at least one of the drones to perform at least one of the service requests, cause the at least one of the drones to be equipped with the at least one of the tools, and transmit instructions to the at least one of the drones, wherein the instructions are based on the at least one of the service requests.
- In some embodiments, an apparatus and a corresponding method performed by the apparatus, comprises receiving service requests, transporting, via an autonomous vehicle, the tools and the drones to a location associated with at least one of the service requests, receiving, from a plurality of sensors associated with the autonomous vehicle, indications of properties of the tools and the drones, selecting, based on the at least one of the service requests and the indications of the properties of the tools and the drones, at least one of the tools and one of the drones to perform the at least one of the service requests, causing the at least one of the drones to be equipped with the at least one of the tools, and transmitting instructions to the at least one of the drones, wherein the instructions are based on the at least one of the service requests.
Claims (20)
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10543984B1 (en) * | 2015-11-10 | 2020-01-28 | MRN Systems, Inc. | Multipurpose robotic system |
| US11263579B1 (en) * | 2016-12-05 | 2022-03-01 | Amazon Technologies, Inc. | Autonomous vehicle networks |
| US11069234B1 (en) * | 2018-02-09 | 2021-07-20 | Applied Information, Inc. | Systems, methods, and devices for communication between traffic controller systems and mobile transmitters and receivers |
| DE102018211474A1 (en) * | 2018-07-11 | 2020-01-16 | Robert Bosch Gmbh | Data and / or command device |
| KR20200017582A (en) * | 2018-07-26 | 2020-02-19 | 현대자동차주식회사 | System and method for assisting autonomous driving of vehicle using drone |
| JP7256982B2 (en) | 2018-12-28 | 2023-04-13 | スズキ株式会社 | Vehicle travel control device |
| JP7189509B2 (en) * | 2019-03-27 | 2022-12-14 | スズキ株式会社 | Vehicle travel control device |
| US11521160B2 (en) * | 2019-06-13 | 2022-12-06 | International Business Machines Corporation | Intelligent vehicle delivery |
| CA3143232C (en) * | 2019-06-24 | 2024-05-28 | Bilal FAROOQ | Distributed traffic management system with dynamic end-to-end routing |
| US11355242B2 (en) | 2019-08-12 | 2022-06-07 | International Business Machines Corporation | Medical treatment management |
| JP7393730B2 (en) | 2019-09-26 | 2023-12-07 | スズキ株式会社 | Vehicle travel control device |
| US20220172609A1 (en) * | 2020-11-30 | 2022-06-02 | George Mason University | Multi-access edge computing for roadside units |
| JP7552449B2 (en) * | 2021-03-11 | 2024-09-18 | トヨタ自動車株式会社 | Intersection control system, intersection control method, and program |
| JP2023000772A (en) * | 2021-06-18 | 2023-01-04 | 本田技研工業株式会社 | Information processor, information processing method, and program |
| CN114670738B (en) * | 2022-03-24 | 2023-07-25 | 江西翱翔星云科技有限公司 | Unmanned aerial vehicle carrier vehicle and operation method thereof |
| US12254445B2 (en) * | 2022-08-16 | 2025-03-18 | Ford Global Technologies, Llc | System and method for tool allocation for service vehicles |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170022015A1 (en) * | 2015-07-23 | 2017-01-26 | Pinc Solutions | System and method for determining and controlling status and location of an object |
| US20170129603A1 (en) * | 2015-11-10 | 2017-05-11 | Matternet, Inc. | Methods and systems for transportation using unmanned aerial vehicles |
| US20180017972A1 (en) * | 2016-07-18 | 2018-01-18 | International Business Machines Corporation | Drone and drone-based system and methods for helping users assemble an object |
| US20180075760A1 (en) * | 2016-09-09 | 2018-03-15 | Wal-Mart Stores, Inc. | Solar rechargeable unmanned vehicle systems and methods to monitor a geographic area |
Family Cites Families (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000054433A1 (en) | 1999-03-08 | 2000-09-14 | Lockheed Martin Corporation | Method and apparatus for positioning a low cost, long duration high altitude instrument platform utilizing unmanned airborne vehicles |
| US7341224B1 (en) | 2004-10-14 | 2008-03-11 | Osann Jr Robert | Miniature expendable surveillance balloon system |
| WO2008085536A2 (en) | 2006-05-23 | 2008-07-17 | Avid, Llc | Dual-use modular propulsion surveillance vehicle with detachable unmanned airborne vehicles |
| US8038090B2 (en) | 2009-03-19 | 2011-10-18 | Aurora Flight Sciences Corporation | System and method for the retrieval of a smaller unmanned aerial vehicle by a larger unmanned aerial vehicle |
| US9987506B2 (en) * | 2010-12-15 | 2018-06-05 | Robert Marcus | UAV—or personal flying device—delivered deployable descent device |
| PL2807526T3 (en) * | 2012-01-25 | 2020-11-30 | Omron Robotics And Safety Technologies, Inc. | Autonomous mobile robot for handling job assignments in a physical environment inhabited by stationary and non-stationary obstacles |
| DE102012002067A1 (en) | 2012-02-03 | 2013-08-08 | Eads Deutschland Gmbh | Air-to-ground monitoring and / or control system and method for airborne inspection and / or control of offshore or offshore objects |
| US9051043B1 (en) | 2012-12-28 | 2015-06-09 | Google Inc. | Providing emergency medical services using unmanned aerial vehicles |
| EP2978665A4 (en) | 2013-03-24 | 2017-04-26 | Bee Robotics Corporation | Aerial farm robot system for crop dusting, planting, fertilizing and other field jobs |
| CA2829368A1 (en) | 2013-10-08 | 2015-04-08 | Shelton G. De Silva | Combination of unmanned aerial vehicles and the method and system to engage in multiple applications |
| CA2927096C (en) | 2013-10-26 | 2023-02-28 | Amazon Technologies, Inc. | Unmanned aerial vehicle delivery system |
| WO2014080386A2 (en) | 2014-03-25 | 2014-05-30 | Alshdaifat, Wasfi | Drone service aero-carrier |
| WO2014080385A2 (en) * | 2014-03-25 | 2014-05-30 | Wasfi Alshdaifat | Firefighters drone arrangement |
| US10078136B2 (en) | 2014-03-25 | 2018-09-18 | Amazon Technologies, Inc. | Sense and avoid for automated mobile vehicles |
| US10399676B2 (en) | 2014-03-31 | 2019-09-03 | Working Drones, Inc. | Indoor and outdoor aerial vehicles for painting and related applications |
| US9767701B2 (en) | 2014-06-26 | 2017-09-19 | Amazon Technologies, Inc. | Ground effect based surface sensing in automated aerial vehicles |
| US9550577B1 (en) | 2014-06-26 | 2017-01-24 | Amazon Technologies, Inc. | Electricity generation in automated aerial vehicles |
| GB2530626A (en) | 2014-09-15 | 2016-03-30 | Gustavo Carriconde | Unmanned aerial vehicle deployment system and method of control |
| US9809305B2 (en) | 2015-03-02 | 2017-11-07 | Amazon Technologies, Inc. | Landing of unmanned aerial vehicles on transportation vehicles for transport |
-
2017
- 2017-12-01 US US15/829,427 patent/US10126746B2/en active Active
- 2017-12-01 MX MX2019006371A patent/MX2019006371A/en unknown
- 2017-12-01 CA CA3045655A patent/CA3045655A1/en not_active Abandoned
- 2017-12-01 WO PCT/US2017/064131 patent/WO2018102641A1/en not_active Ceased
-
2018
- 2018-09-13 US US16/130,540 patent/US20190011919A1/en not_active Abandoned
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170022015A1 (en) * | 2015-07-23 | 2017-01-26 | Pinc Solutions | System and method for determining and controlling status and location of an object |
| US20170129603A1 (en) * | 2015-11-10 | 2017-05-11 | Matternet, Inc. | Methods and systems for transportation using unmanned aerial vehicles |
| US20180017972A1 (en) * | 2016-07-18 | 2018-01-18 | International Business Machines Corporation | Drone and drone-based system and methods for helping users assemble an object |
| US20180075760A1 (en) * | 2016-09-09 | 2018-03-15 | Wal-Mart Stores, Inc. | Solar rechargeable unmanned vehicle systems and methods to monitor a geographic area |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE1950956A1 (en) * | 2019-08-22 | 2021-02-23 | Husqvarna Ab | Improved operation for a robotic work tool |
| WO2021034257A1 (en) * | 2019-08-22 | 2021-02-25 | Husqvarna Ab | Improved operation for a robotic work tool |
| SE544459C2 (en) * | 2019-08-22 | 2022-06-07 | Husqvarna Ab | Improved operation for a robotic work tool based on an analysis by a cloud service of sensor data from two robotic work tools |
| JP2022546326A (en) * | 2019-08-22 | 2022-11-04 | フスクバルナ アクティエボラーグ | Improved operation of robotic work tools |
| JP7551737B2 (en) | 2019-08-22 | 2024-09-17 | フスクバルナ アクティエボラーグ | Improved handling of robotic work tools |
| US12414500B2 (en) | 2019-08-22 | 2025-09-16 | Husqvarna Ab | Operation for a robotic work tool |
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| US20180157258A1 (en) | 2018-06-07 |
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| US10126746B2 (en) | 2018-11-13 |
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