Energy-Efficient Off-Road Navigation of an Unmanned Mining Truck on a Rough Terrain
- Resource Type
- Conference
- Authors
- Savkin, Andrey V.; Verma, Satish C.; Li, Siyuan
- Source
- 2024 Australian & New Zealand Control Conference (ANZCC) Australian & New Zealand Control Conference (ANZCC), 2024. :98-102 Feb, 2024
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Navigation
Computer simulation
3G mobile communication
Cost function
Hazards
Energy efficiency
Fuels
- Language
- ISSN
- 2767-7257
This paper presents a solution to the complex challenge of optimizing the navigation of unmanned mining trucks across challenging terrain. The primary goal is to minimize fuel consumption while ensuring safety by avoiding designated hazard zones. The developed algorithm efficiently calculates an optimal path for the truck by considering both the terrain’s geometric characteristics and safety constraints. Importantly, this research rigorously proves the global optimality of the proposed navigation algorithm. Our work contributes to enhancing the efficiency and safety of autonomous mining operations.