Path planning of mobile robot based on improved ant colony algorithm for logistics-Reference-Cited by-同舟云学术

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Path planning of mobile robot based on improved ant colony algorithm for logistics

Published:2021 Issue:4 Volume:18 Page:3034-3045
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Xue Tian, ,Li Liu,Shuang Liu,Zhiping Du,Ming Pang, , ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference14 articles.

1. H. Fazlollahtabar, Comparative simulation study for configuring turning point in multiple robot path planning: Robust data envelopment analysis, Robotica, 38 (2020), 925-939.

2. B. P. Huynh, Y. L. Kuo, Dynamic filtered path tracking control for a 3RRR robot using optimal recursive path planning and vision-based pose estimation, IEEE Access, 8 (2020), 174736-174750.

3. B. Li, H. Liang, Multi-robot path planning method based on prior knowledge and Q-learning algorithms, in Journal of Physics: Conference Series, IOP Publishing, 1624 (2020), 042008.

4. R. S. Pol, B. S. Rani, M. Murugan, Socio-realistic optimal path planning for indoor real-time autonomous mobile robot navigation, Int. J. Veh. Auton. Syst., 15 (2020), 101-113.

5. Q. Qian, J. Wu, Z. Wang, Optimal path planning for two-wheeled self-balancing vehicle pendulum robot based on quantum-behaved particle swarm optimization algorithm, Pers. Ubiquitous Comput., 23 (2019), 393-403.

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