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 ◽

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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 ◽

Author(s):

Roudabe Seif ◽

◽

Mohammadreza Asghari Oskoei

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

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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 ◽

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 ◽

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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 ◽

Author(s):

Zhenjun Du ◽

Daokui Qu ◽

Fang Xu ◽

Dianguo Xu

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Hybrid Approach ◽

Dynamic Environments ◽

Robot Path Planning ◽

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Robot Path Planning in Dynamic Environments Based on Deep Reinforcement Learning

Communications in Computer and Information Science - Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health ◽

10.1007/978-981-15-1922-2_19 ◽

2019 ◽

pp. 265-283

Author(s):

Yu Han ◽

Yu Guo ◽

Zhenqiang Mi ◽

Yang Yang

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Dynamic Environments ◽

Robot Path Planning ◽

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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 ◽

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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 ◽

Author(s):

J.P.H. Steele ◽

G.P. Starr

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

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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 ◽

Author(s):

Yang Wang ◽

Ian P. W. Sillitoe ◽

David J. Mulvaney

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Dynamic Environments ◽

Robot Path Planning ◽

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A new potential field method for mobile robot path planning in the dynamic environments

Asian Journal of Control ◽

10.1002/asjc.98 ◽

2009 ◽

Vol 11 (2) ◽

pp. 214-225 ◽

Author(s):

Lu Yin ◽

Yixin Yin ◽

Cheng-Jian Lin

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Potential Field ◽

Dynamic Environments ◽

Field Method ◽

Robot Path Planning ◽

Potential Field Method ◽

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Application of deep reinforcement learning in mobile robot path planning

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8244061 ◽

2017 ◽

Author(s):

Jing Xin ◽

Huan Zhao ◽

Ding Liu ◽

Minqi Li

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Mobile Robot ◽

Robot Path Planning ◽

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An improved potential field method for mobile robot path planning in dynamic environments

2008 7th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2008.4593709 ◽

2008 ◽

Author(s):

Lu Yin ◽

Yixin Yin

Keyword(s):

Path Planning ◽

Mobile Robot ◽

Potential Field ◽

Dynamic Environments ◽

Field Method ◽

Robot Path Planning ◽

Potential Field Method ◽

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