Research on Path Planning of Mobile Robot Based on Deep Reinforcement Learning

Author:

Zhan Shi,Zhang Tingting,Lei Han,Yin Qian,Ali Lu

Publisher

Springer Singapore

Reference19 articles.

1. Abhishek, K., Ashish, K., Deepak, C.: Artificially intelligent robotics: a survey. Int. J. Adv. Eng. Res. Dev. 4(10), 755–762 (2017)

2. Howard, A., Mataric, M.J., Sukhatme, G.S.: An incremental self-deployment algorithm for mobile sensor networks. Auton. Robots 13(2), 113–126 (2002)

3. Souissi, O., Benatitallah, R., Duvivier, D., Artiba, A., Belanger, N., Feyzeau, P.: Path planning: a 2013 survey. In: International Conference on Industrial Engineering and Systems Management, pp. 1–8 (2013)

4. Zhan, F.B.: Three fastest shortest path algorithms on real road networks, data structures and procedures. J. Geograph. Inform. Decis. Anal. 1(1), 69–82 (1997)

5. Kavraki, L., Svestka, P., Latombe, J., et al.: Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans. Robot. Autom. 12(4), 566–580 (1994)

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