GB202105342D0 - Not published - Google Patents

Not published

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Publication number
GB202105342D0
GB202105342D0 GBGB2105342.6A GB202105342A GB202105342D0 GB 202105342 D0 GB202105342 D0 GB 202105342D0 GB 202105342 A GB202105342 A GB 202105342A GB 202105342 D0 GB202105342 D0 GB 202105342D0
Authority
GB
United Kingdom
Prior art keywords
published
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.)
Granted
Application number
GBGB2105342.6A
Other versions
GB2593058A (en
GB2593058B (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.)
Jiangsu University
Original Assignee
Jiangsu University
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 Jiangsu University filed Critical Jiangsu University
Publication of GB202105342D0 publication Critical patent/GB202105342D0/en
Publication of GB2593058A publication Critical patent/GB2593058A/en
Application granted granted Critical
Publication of GB2593058B publication Critical patent/GB2593058B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
    • 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
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
    • 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
    • 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
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0217—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with energy consumption, time reduction or distance reduction criteria
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/008—Artificial life, i.e. computing arrangements simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. based on robots replicating pets or humans in their appearance or behaviour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/061—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using biological neurons, e.g. biological neurons connected to an integrated circuit

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (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)
  • Feedback Control In General (AREA)
  • Manipulator (AREA)
GB2105342.6A 2020-03-09 2020-04-24 Path planning method for irregularly shaped mobile robot Active GB2593058B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010157313.3A CN111474925B (en) 2020-03-09 2020-03-09 Path planning method for irregular-shape mobile robot
PCT/CN2020/086533 WO2021179409A1 (en) 2020-03-09 2020-04-24 Path planning method for moving robot of irregular shape

Publications (3)

Publication Number Publication Date
GB202105342D0 true GB202105342D0 (en) 2021-05-26
GB2593058A GB2593058A (en) 2021-09-15
GB2593058B GB2593058B (en) 2022-09-07

Family

ID=71747225

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2105342.6A Active GB2593058B (en) 2020-03-09 2020-04-24 Path planning method for irregularly shaped mobile robot

Country Status (3)

Country Link
CN (1) CN111474925B (en)
GB (1) GB2593058B (en)
WO (1) WO2021179409A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116922398A (en) * 2023-09-15 2023-10-24 华侨大学 Rope robot and path planning method and device thereof

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113156933B (en) * 2020-12-30 2022-05-03 徐宁 Robot traveling control system and method
CN114898013B (en) * 2022-07-15 2022-11-22 深圳市城市交通规划设计研究中心股份有限公司 Traffic isochronous ring generation method, electronic device and storage medium
CN117804463B (en) * 2024-03-01 2024-06-28 广东众聚人工智能科技有限公司 Intelligent investigation robot and path planning method

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5112666B2 (en) * 2006-09-11 2013-01-09 株式会社日立製作所 Mobile device
CN100491084C (en) * 2007-07-03 2009-05-27 北京控制工程研究所 Mobile Robot local paths planning method on the basis of binary environmental information
CN101441736B (en) * 2007-11-21 2010-09-15 新乡市起重机厂有限公司 Path planning method of motor crane robot
US8364629B2 (en) * 2009-07-02 2013-01-29 Palo Alto Research Center Incorporated Depth-first search for target value problems
CN104050390B (en) * 2014-06-30 2017-05-17 西南交通大学 Mobile robot path planning method based on variable-dimension particle swarm membrane algorithm
CN104317292A (en) * 2014-09-16 2015-01-28 哈尔滨恒誉名翔科技有限公司 Method for planning collision avoidance path of robot with complicated shape
US11017679B2 (en) * 2017-01-13 2021-05-25 Skydio, Inc. Unmanned aerial vehicle visual point cloud navigation
CN106843211B (en) * 2017-02-07 2019-11-08 东华大学 A kind of method for planning path for mobile robot based on improved adaptive GA-IAGA
US20190184561A1 (en) * 2017-12-15 2019-06-20 The Regents Of The University Of California Machine Learning based Fixed-Time Optimal Path Generation
CN109839110B (en) * 2019-01-09 2020-07-24 浙江大学 Multi-target point path planning method based on rapid random search tree
CN109814557A (en) * 2019-01-23 2019-05-28 西北工业大学 A kind of robot path planning method that Global motion planning device is leading
CN110057362B (en) * 2019-04-26 2022-09-16 安徽理工大学 Mobile robot path planning method of limited unit map
CN110426044A (en) * 2019-08-09 2019-11-08 华南理工大学 A kind of obstacle-avoiding route planning method calculated based on convex set and optimize ant group algorithm

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116922398A (en) * 2023-09-15 2023-10-24 华侨大学 Rope robot and path planning method and device thereof
CN116922398B (en) * 2023-09-15 2023-12-22 华侨大学 Rope robot and path planning method and device thereof

Also Published As

Publication number Publication date
GB2593058A (en) 2021-09-15
CN111474925A (en) 2020-07-31
GB2593058B (en) 2022-09-07
WO2021179409A1 (en) 2021-09-16
CN111474925B (en) 2021-09-10

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