Research on path planning of desert service robot based on optimal energy consumption
This study proposes an energy-efficient path-planning algorithm for service robots operating in desert environments. The algorithm accounts for both rolling resistance and gravitational work encountered during dune traversal in unstructured desert terrain and develops a corresponding motion energy consumption model. By incorporating this energy consumption model into the heuristic function of the traditional A algorithm, the approach facilitates energy-minimizing path planning. A desert simulation environment was implemented in MATLAB to perform comparative analyses with conventional path-planning methods. The results demonstrate that the proposed algorithm achieves the lowest energy consumption, thereby enhancing the robot’s endurance for extended desert missions.
Authors
- Feng Zhang (ORCID: https://orcid.org/0000-0002-7845-7970)
- Chenshuo Li (ORCID: https://orcid.org/0000-0003-2456-0603)
- Hualian Li (ORCID: https://orcid.org/0000-0002-4175-7101)
- Xiaodong He (ORCID: https://orcid.org/0000-0002-9096-5011)
- Jiale Wu (ORCID: https://orcid.org/0009-0007-8445-4534)
Institutions
- Inner Mongolia University of Technology (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1049/icp.2025.3484
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00