Human-centered <mml:math altimg="si38.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mi>X</mml:mi></mml:math>–<mml:math altimg="si39.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mi>Y</mml:mi></mml:math>–<mml:math altimg="si40.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mi>T</mml:mi></mml:math> space path planning for mobile robot in dynamic environments

Mobile Robot Path Planning by RRT* in Dynamic Environments

International Journal of Intelligent Systems and Applications ◽

10.5815/ijisa.2015.05.04 ◽

2015 ◽

Vol 7 (5) ◽

pp. 24-30 ◽

Cited By ~ 2

Author(s):

Roudabe Seif ◽

◽

Mohammadreza Asghari Oskoei

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

Robot Path

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A Potential Field Simulation Study for Mobile Robot Path Planning in Dynamic Environments

2019 20th International Conference on Research and Education in Mechatronics (REM) ◽

10.1109/rem.2019.8744125 ◽

2019 ◽

Cited By ~ 1

Author(s):

Mohammad Hamdan Garibeh ◽

Mohammad Abdel Kareem Jaradat ◽

Nathir A. Rawashdeh

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Simulation Study ◽

Potential Field ◽

Dynamic Environments ◽

Robot Path Planning ◽

Field Simulation ◽

Robot Path

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A hybrid approach for mobile robot path planning in dynamic environments

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO) ◽

10.1109/robio.2007.4522310 ◽

2007 ◽

Cited By ~ 1

Author(s):

Zhenjun Du ◽

Daokui Qu ◽

Fang Xu ◽

Dianguo Xu

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Hybrid Approach ◽

Dynamic Environments ◽

Robot Path Planning ◽

Robot Path

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Research of the Path Planning Complexity for Autonomous Mobile Robot under Dynamic Environments

Sixth International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2006.38 ◽

2006 ◽

Cited By ~ 2

Author(s):

Hongyan Shi ◽

Xiaoming Sun ◽

Changzhi Sun ◽

Dongyang Chen ◽

Yuejun An

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Autonomous Mobile Robot

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Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm

Defence Technology ◽

10.1016/j.dt.2017.01.001 ◽

2017 ◽

Vol 13 (1) ◽

pp. 47-58 ◽

Cited By ~ 45

Author(s):

Anish Pandey ◽

Dayal R. Parhi

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Optimization Algorithm ◽

Dynamic Environments ◽

Optimum Path

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Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning

IEEE Robotics and Automation Letters ◽

10.1109/lra.2020.3026638 ◽

2020 ◽

Vol 5 (4) ◽

pp. 6932-6939

Author(s):

Binyu Wang ◽

Zhe Liu ◽

Qingbiao Li ◽

Amanda Prorok

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

Robot Path

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Highly optimized Q‐learning‐based bees approach for mobile robot path planning in static and dynamic environments

Journal of Field Robotics ◽

10.1002/rob.22052 ◽

2021 ◽

Author(s):

Talal Bonny ◽

Mariam Kashkash

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

Q Learning ◽

Robot Path

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Mobile Robot Path Planning In Dynamic Environments

Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/icsmc.1988.712840 ◽

2005 ◽

Cited By ~ 6

Author(s):

J.P.H. Steele ◽

G.P. Starr

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

Robot Path

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A potential function and artificial neural network for path planning in dynamic environments based on self-reconfigurable mobile robot system

2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) ◽

10.1109/ssrr.2012.6523900 ◽

2012 ◽

Cited By ~ 1

Author(s):

Bin Li ◽

Jian Chang ◽

Chengdong Wu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Path Planning ◽

Mobile Robot ◽

Potential Function ◽

Dynamic Environments ◽

Robot System ◽

Artificial Neural

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Mobile Robot Path Planning in Dynamic Environments

Proceedings 2007 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.2007.363767 ◽

2007 ◽

Cited By ~ 12

Author(s):

Yang Wang ◽

Ian P. W. Sillitoe ◽

David J. Mulvaney

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

Robot Path

Download Full-text

Human-centered X–Y–T space path planning for mobile robot in dynamic environments

Mobile Robot Path Planning by RRT* in Dynamic Environments

A Potential Field Simulation Study for Mobile Robot Path Planning in Dynamic Environments

A hybrid approach for mobile robot path planning in dynamic environments

Research of the Path Planning Complexity for Autonomous Mobile Robot under Dynamic Environments

Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm

Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning

Highly optimized Q‐learning‐based bees approach for mobile robot path planning in static and dynamic environments

Mobile Robot Path Planning In Dynamic Environments

A potential function and artificial neural network for path planning in dynamic environments based on self-reconfigurable mobile robot system

Mobile Robot Path Planning in Dynamic Environments

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