Path planning of unmanned mobile robot in unknown obstacle environments for multi switching control tracking using deep reinforcement learning

Author:

Bharathi V.,Sakthivel K.

Publisher

AIP Publishing

Reference36 articles.

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2. Chang, L., Shan, L., Li, J., & Dai, Y. (2019, May). The path planning of mobile robots based on an improved A* algorithm. In 2019 IEEE 16th international conference on networking, sensing and control (ICNSC) (pp. 257–262). IEEE.

3. Xin, Y., Liang, H. W., Du, M. B., Mei, T., Wang, Z. L., & Jiang, R. H. (2014). An improved A* algorithm for searching infinite neighbourhoods. Robot, 36(5), 627–633.

4. Zhao, X., Wang, Z., Huang, C. K., & Zhao, Y. W. (2018). Mobile robot path planning based on an improved A* algorithm. Robot, 40(6), 903–910.

5. Khatib, O. (1986). Real-time obstacle avoidance for manipulators and mobile robots. In Autonomous robot vehicles (pp. 396–404). Springer, New York, NY.

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