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GB202107204D0 - Robot fleet management method and system using a graph neural network - Google Patents

Robot fleet management method and system using a graph neural network

Info

Publication number
GB202107204D0
GB202107204D0 GBGB2107204.6A GB202107204A GB202107204D0 GB 202107204 D0 GB202107204 D0 GB 202107204D0 GB 202107204 A GB202107204 A GB 202107204A GB 202107204 D0 GB202107204 D0 GB 202107204D0
Authority
GB
United Kingdom
Prior art keywords
neural network
management method
fleet management
graph neural
robot fleet
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.)
Withdrawn
Application number
GBGB2107204.6A
Other versions
GB2606752A (en
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.)
Continental Automotive GmbH
Original Assignee
Continental Automotive GmbH
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 Continental Automotive GmbH filed Critical Continental Automotive GmbH
Priority to GB2107204.6A priority Critical patent/GB2606752A/en
Publication of GB202107204D0 publication Critical patent/GB202107204D0/en
Priority to PCT/EP2022/059955 priority patent/WO2022242966A1/en
Priority to DE112022002704.5T priority patent/DE112022002704T5/en
Publication of GB2606752A publication Critical patent/GB2606752A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • 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
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/092—Reinforcement learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Medical Informatics (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
GB2107204.6A 2021-05-20 2021-05-20 Robot fleet management method and system using a graph neural network Withdrawn GB2606752A (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
GB2107204.6A GB2606752A (en) 2021-05-20 2021-05-20 Robot fleet management method and system using a graph neural network
PCT/EP2022/059955 WO2022242966A1 (en) 2021-05-20 2022-04-13 Robot fleet management method and system using a graph neural network
DE112022002704.5T DE112022002704T5 (en) 2021-05-20 2022-04-13 Method and system for managing a robot fleet using a graph neural network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB2107204.6A GB2606752A (en) 2021-05-20 2021-05-20 Robot fleet management method and system using a graph neural network

Publications (2)

Publication Number Publication Date
GB202107204D0 true GB202107204D0 (en) 2021-07-07
GB2606752A GB2606752A (en) 2022-11-23

Family

ID=76637714

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2107204.6A Withdrawn GB2606752A (en) 2021-05-20 2021-05-20 Robot fleet management method and system using a graph neural network

Country Status (3)

Country Link
DE (1) DE112022002704T5 (en)
GB (1) GB2606752A (en)
WO (1) WO2022242966A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102431252B1 (en) * 2022-06-08 2022-08-11 (주)니어스랩 Method and apparatus for generating movement routes of multiple drones for inspection of industrial structures
CN120013205B (en) * 2025-04-17 2025-07-15 浪潮智慧供应链科技(山东)有限公司 Intelligent scheduling method and system for four-legged robot

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4661838B2 (en) * 2007-07-18 2011-03-30 トヨタ自動車株式会社 Route planning apparatus and method, cost evaluation apparatus, and moving body
PL2791748T3 (en) 2012-02-08 2021-04-06 Omron Robotics And Safety Technologies, Inc. Job management sytem for a fleet of autonomous mobile robots
GB201409883D0 (en) 2014-06-03 2014-07-16 Ocado Ltd Methods, systems, and apparatus for controlling movement of transporting devices
US20190120640A1 (en) * 2017-10-19 2019-04-25 rideOS Autonomous vehicle routing
US10809732B2 (en) * 2018-09-25 2020-10-20 Mitsubishi Electric Research Laboratories, Inc. Deterministic path planning for controlling vehicle movement
US11803184B2 (en) * 2018-12-18 2023-10-31 Motional Ad Llc Methods for generating maps using hyper-graph data structures
US10814871B2 (en) * 2018-12-26 2020-10-27 Gm Cruise Holdings Llc Computing system for assigning maneuver labels to autonomous vehicle sensor data
DE102019209736A1 (en) * 2019-07-03 2021-01-07 Robert Bosch Gmbh Procedure for evaluating possible trajectories

Also Published As

Publication number Publication date
DE112022002704T5 (en) 2024-04-18
GB2606752A (en) 2022-11-23
WO2022242966A1 (en) 2022-11-24

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Legal Events

Date Code Title Description
732E Amendments to the register in respect of changes of name or changes affecting rights (sect. 32/1977)

Free format text: REGISTERED BETWEEN 20230223 AND 20230301

WAP Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1)