Path planning of mobile robot in unknown dynamic continuous environment using reward‐modified deep Q ‐network

Author:

Huang Runnan1,Qin Chengxuan1,Li Jian Ling1,Lan Xuejing1ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering Guangzhou University Guangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Reference27 articles.

1. A note on two problems in connexion with graphs

2. Optimal and efficient path planning for partially‐known environments;Stentz A;Proceedings of the 1994 IEEE International Conference on Robotics and Automation,1994

3. Rapidly‐exploring random trees: a new tool for path planning;Lavalle SM;Computer Science Dept., Iowa State University,1998

4. Ant system: optimization by a colony of cooperating agents

5. Numerical potential field techniques for robot path planning;Barraquand J;IEEE Transactions on Systems, Man, and Cybernetics,1992

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