A multi-objective path optimization method for plant protection robots based on improved A*-IWOA
This algorithm offers significant advantages in terms of computational accuracy, convergence speed, and efficiency. Moreover, the resulting paths satisfy the stringent energy consumption and path planning requirements of robots in unstructured mountain terrain. This improved algorithm could also be replicated and applied to other fields, such as picking robots, factory inspection robots, and complex industrial environments, where robust and efficient path planning is required.
Authors
- Lipeng Zhang (ORCID: https://orcid.org/0000-0001-5204-8610)
- Ma Haohao (ORCID: https://orcid.org/0009-0001-6964-2357)
- Chuanyan Shen
- Qijun Li (ORCID: https://orcid.org/0009-0003-4811-5843)
- Jing Niu (ORCID: https://orcid.org/0009-0009-2048-662X)
Institutions
- Universiti Putra Malaysia (MY)
- Yanshan University (CN)
- Tianshui Normal University (CN)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2024-12-20
- DOI
- https://doi.org/10.7717/peerj-cs.2620
- Citations
- 2
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.50