Path Planning of Substation Inspection Robot Based on Improved Ant Colony Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4334-0_87
Reference10 articles.
1. Wang, C., Li, H., Zhang, Z., Yu, P., Yang, L., Du, J., Niu, Y., Jiang, J.: Review of bionic crawling micro-robots. J. Intell. Robot. Syst. 105(3) (2022)
2. Li, L., Zhang, Y., Ripperger, M., Nicho, J., Veeraraghavan, M., Fumagalli, A.: Autonomous object pick-and-sort procedure for industrial robotics application. Int. J. Semant. Comput. 13(2) (2019)
3. Sun, J.: Study on Dijkstra path planning of sensor networks based on optimized ant colony algorithm. In: Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018) (2018)
4. Zhang, Z., Wan, Y., Wang, Y., Guan, X., Ren W., Li, G.: Improved hybrid A* path planning method for spherical mobile robot based on pendulum. Int. J. Adv. Robot. Syst. 18(1) (2021)
5. Yue, L., Chen, H.: Unmanned vehicle path planning using a novel ant colony algorithm. EURASIP J. Wirel. Commun. Netw. 2019(1) (2019)
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