Author:
Liu Guanyi,Li Xuewei,Mao Yumeng,Sun Jingxiao,Jiao Dehan,Li Xuemei
Publisher
Springer Nature Singapore
Reference19 articles.
1. Wang, X., Wang, W., Song, S., Ping, X., Peng, L.: Robot path planning algorithm based on ant colony and particle swarm optimization. Comput. Syst. Appl. 20(9), 98–102 (2011)
2. Bing, H., Gang, L., Jiang, G., Hong, W., Nan, N., Yan, L.: A route planning method based on improved artificial potential field algorithm. In: Proceedings of the 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), pp. 550–554, Xi’an, China, May 2011
3. Kovacs, B., Szayer, G., Tajti, F., Burdelis, M., Korondi, P.: A novel potential field method for path planning of mobile robots by adapting animal motion attributes. Robot. Auton. Syst. 82, 24–34 (2016)
4. Yao, Q.F., Zheng, Z.Y., Qi, L., Yuan, H.T., Guo, X.W., et al.: Path planning method with improved artificial potential field- a reinforcement learning perspective. IEEE Access 8, 135513–135523 (2020)
5. Liu, C.G., Mao, Q.Z., Chu, X.M., Xie, S.: An improved A-star algorithm considering water current, traffic separation and berthing for vessel path planning. Appl. Sci.-Basel 9(6), 1–17 (2019)