Reinforcement learning based algorithm design for mobile robot static obstacle avoidance

Reinforcement learning based algorithm design for mobile robot static obstacle avoidance

Robot static obstacle avoidance has always been a hot topic in Robot Control. The traditional method utilizes a global path planner, such as A*, with a high precision map, to automatically generate a path that could avoid the obstacles. However, considering the difficulties of producing a high preci...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkki: Li, Zongrui
Eará dahkkit: Hu, Guoqiang
Materiálatiipa: Thesis-Master by Coursework
Giella:English
Almmustuhtton: Nanyang Technological University 2021
Fáttát:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Liŋkkat:https://hdl.handle.net/10356/151905

Interneahtta

https://hdl.handle.net/10356/151905

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