NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations
Cagri Kilic, Bernardo Martinez R. Jr., Christopher A. Tatsch, Jared, Beard, Jared Strader, Shounak Das, Derek Ross, Yu Gu, Guilherme A. S., Pereira, Jason N. Gross

TL;DR
This paper discusses strategies and design trade-offs for autonomous lunar rover operations tested in a realistic virtual environment, highlighting a team's success in NASA's Space Robotics Challenge Phase 2.
Contribution
It presents a detailed account of algorithm development, testing, and team strategies that led to successful participation in the NASA SRC2 qualification round.
Findings
Team Mountaineers ranked among top six in qualification
Effective strategies for resource localization and transportation
Validated simulation-based testing for lunar rover autonomy
Abstract
Plans for establishing a long-term human presence on the Moon will require substantial increases in robot autonomy and multi-robot coordination to support establishing a lunar outpost. To achieve these objectives, algorithm design choices for the software developments need to be tested and validated for expected scenarios such as autonomous in-situ resource utilization (ISRU), localization in challenging environments, and multi-robot coordination. However, real-world experiments are extremely challenging and limited for extraterrestrial environment. Also, realistic simulation demonstrations in these environments are still rare and demanded for initial algorithm testing capabilities. To help some of these needs, the NASA Centennial Challenges program established the Space Robotics Challenge Phase 2 (SRC2) which consist of virtual robotic systems in a realistic lunar simulation…
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Taxonomy
TopicsPlanetary Science and Exploration · Modular Robots and Swarm Intelligence · Astro and Planetary Science
