Application of Actor-Critic Deep Reinforcement Learning Method for Obstacle Avoidance of WMR-Reference-Cited by-同舟云学术

Application of Actor-Critic Deep Reinforcement Learning Method for Obstacle Avoidance of WMR

Published:2021-10-30 Issue: Volume: Page:5485-5494
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
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Author:

Gao Xiaoshan,Yan Liang,Wang Gang,He Zhuang,Gerada Chris,Chang Suokui

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-8155-7_453

Reference19 articles.

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3. Pandey, A.: Mobile robot navigation and obstacle avoidance techniques: a review. Int. J. Intell. Robot. Autom. 2(3), 1–12 (2017)

4. Yan, L., Zhang, L., Jiao, Z., Hu, H., et al.: Armature reaction field and inductance of coreless moving-coil tubular linear machine. IEEE Trans. Ind. Electron. 61(12), 6956–6965 (2014)

5. Koren, Y., Borenstein, J.: Potential field methods and their inherent limitations for mobile robot navigation. IEEE International Conference on Robotics and Automation, pp. 1398–1404 (1991)

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