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Multi-robot cooperation for lunar In-Situ resource utilization

This paper presents a cooperative, multi-robot solution for searching, excavating, and transporting mineral resources on the Moon. Our work was developed in the context of the Space Robotics Challenge Phase 2 (SRCP2), which was part of the NASA Centennial Challenges and was motivated by the current...

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Autores principales: Martinez Rocamora, Bernardo, Kilic, Cagri, Tatsch, Christopher, Pereira, Guilherme A. S., Gross, Jason N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076576/
https://www.ncbi.nlm.nih.gov/pubmed/37033672
http://dx.doi.org/10.3389/frobt.2023.1149080
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author Martinez Rocamora, Bernardo
Kilic, Cagri
Tatsch, Christopher
Pereira, Guilherme A. S.
Gross, Jason N.
author_facet Martinez Rocamora, Bernardo
Kilic, Cagri
Tatsch, Christopher
Pereira, Guilherme A. S.
Gross, Jason N.
author_sort Martinez Rocamora, Bernardo
collection PubMed
description This paper presents a cooperative, multi-robot solution for searching, excavating, and transporting mineral resources on the Moon. Our work was developed in the context of the Space Robotics Challenge Phase 2 (SRCP2), which was part of the NASA Centennial Challenges and was motivated by the current NASA Artemis program, a flagship initiative that intends to establish a long-term human presence on the Moon. In the SRCP2 a group of simulated mobile robots was tasked with reporting volatile locations within a realistic lunar simulation environment, and excavating and transporting these resources to target locations in such an environment. In this paper, we describe our solution to the SRCP2 competition that includes our strategies for rover mobility hazard estimation (e.g. slippage level, stuck status), immobility recovery, rover-to-rover, and rover-to-infrastructure docking, rover coordination and cooperation, and cooperative task planning and autonomy. Our solution was able to successfully complete all tasks required by the challenge, granting our team sixth place among all participants of the challenge. Our results demonstrate the potential of using autonomous robots for autonomous in-situ resource utilization (ISRU) on the Moon. Our results also highlight the effectiveness of realistic simulation environments for testing and validating robot autonomy and coordination algorithms. The successful completion of the SRCP2 challenge using our solution demonstrates the potential of cooperative, multi-robot systems for resource utilization on the Moon.
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spelling pubmed-100765762023-04-07 Multi-robot cooperation for lunar In-Situ resource utilization Martinez Rocamora, Bernardo Kilic, Cagri Tatsch, Christopher Pereira, Guilherme A. S. Gross, Jason N. Front Robot AI Robotics and AI This paper presents a cooperative, multi-robot solution for searching, excavating, and transporting mineral resources on the Moon. Our work was developed in the context of the Space Robotics Challenge Phase 2 (SRCP2), which was part of the NASA Centennial Challenges and was motivated by the current NASA Artemis program, a flagship initiative that intends to establish a long-term human presence on the Moon. In the SRCP2 a group of simulated mobile robots was tasked with reporting volatile locations within a realistic lunar simulation environment, and excavating and transporting these resources to target locations in such an environment. In this paper, we describe our solution to the SRCP2 competition that includes our strategies for rover mobility hazard estimation (e.g. slippage level, stuck status), immobility recovery, rover-to-rover, and rover-to-infrastructure docking, rover coordination and cooperation, and cooperative task planning and autonomy. Our solution was able to successfully complete all tasks required by the challenge, granting our team sixth place among all participants of the challenge. Our results demonstrate the potential of using autonomous robots for autonomous in-situ resource utilization (ISRU) on the Moon. Our results also highlight the effectiveness of realistic simulation environments for testing and validating robot autonomy and coordination algorithms. The successful completion of the SRCP2 challenge using our solution demonstrates the potential of cooperative, multi-robot systems for resource utilization on the Moon. Frontiers Media S.A. 2023-03-23 /pmc/articles/PMC10076576/ /pubmed/37033672 http://dx.doi.org/10.3389/frobt.2023.1149080 Text en Copyright © 2023 Martinez Rocamora, Kilic, Tatsch, Pereira and Gross. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Martinez Rocamora, Bernardo
Kilic, Cagri
Tatsch, Christopher
Pereira, Guilherme A. S.
Gross, Jason N.
Multi-robot cooperation for lunar In-Situ resource utilization
title Multi-robot cooperation for lunar In-Situ resource utilization
title_full Multi-robot cooperation for lunar In-Situ resource utilization
title_fullStr Multi-robot cooperation for lunar In-Situ resource utilization
title_full_unstemmed Multi-robot cooperation for lunar In-Situ resource utilization
title_short Multi-robot cooperation for lunar In-Situ resource utilization
title_sort multi-robot cooperation for lunar in-situ resource utilization
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076576/
https://www.ncbi.nlm.nih.gov/pubmed/37033672
http://dx.doi.org/10.3389/frobt.2023.1149080
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