Navigation and Optimized Support Rover
This paper presents the design and development of a low-maintenance, modular lunar rover for long-term service and maintenance operations on the Moon. The rover is engineered for extended durability (~1 year) low-backlash cycloidal drive systems, and solarresistant materials to minimize wear and maintenance. Key features include a 6-degree-of-freedom (DOF) robotic arm capable of lifting 50 kg (81 N under lunar gravity). To ensure autonomous operation in a dynamic lunar environment, the rover integrates advanced sensors, including a Zed Mini Camera, Micro Lidar sensors, and IMU modules, controlled by a Jetson Nanobased system. Autonomous navigation and payload manipulation are enabled through computer vision models trained on convolutional neural networks (CNNs), with PID-controlled dynamic adjustments. The rover is powered by a Lithium Iron Phosphate battery, allowing for hot-swappable operation and extended activity. Additionally, Gazebo simulations will be used to refine control algorithms before deployment. This design aims to enhance long-term operational efficiency and reduce logistical costs for sustained lunar exploration.
Authors
- Tarek F. Ibrahim (ORCID: https://orcid.org/0000-0002-6895-3268)
- Elijah Reid
- Hariharan N. Krishnasamy (ORCID: https://orcid.org/0000-0003-2775-0584)
- Moritz H. Albrecht (ORCID: https://orcid.org/0000-0002-4966-6407)
- Shyam Narayan Jha (ORCID: https://orcid.org/0000-0003-2930-9987)
- Daniel Hidalgo (ORCID: https://orcid.org/0000-0002-2615-2868)
- R. J. MATHEWS
- William E. Garrett
- Abel Gizaw
- Corey Golcman
- Jedidiah Isreal
Publication Details
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1109/ur65550.2025.11078081
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00