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.

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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
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article

Navigation and Optimized Support Rover

Tarek F. Ibrahim, Elijah Reid, Hariharan N. Krishnasamy, Moritz H. Albrecht et al.
Robotic Path Planning Algorithms
article

Navigation and Optimized Support Rover

Tarek F. Ibrahim, Elijah Reid, Hariharan N. Krishnasamy, Moritz H. Albrecht, Shyam Narayan Jha, Daniel Hidalgo, R. J. MATHEWS, William E. Garrett, Abel Gizaw, Corey Golcman, Jedidiah Isreal
article en

Abstract

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.

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Robotic Path Planning Algorithms
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