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用于月球资源利用的多机器人合作

Multi-robot cooperation for lunar resource utilization.

作者信息

Martinez Rocamora Bernardo, Kilic Cagri, Tatsch Christopher, Pereira Guilherme A S, Gross Jason N

机构信息

Field and Aerial Robotics Laboratory, Department of Mechanical and Aerospace Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, United States.

Navigation Laboratory, Department of Mechanical and Aerospace Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, United States.

出版信息

Front Robot AI. 2023 Mar 23;10:1149080. doi: 10.3389/frobt.2023.1149080. eCollection 2023.

Abstract

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 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.

摘要

本文提出了一种用于在月球上搜索、挖掘和运输矿产资源的协作式多机器人解决方案。我们的工作是在太空机器人挑战赛第二阶段(SRCP2)的背景下开展的,该挑战赛是美国国家航空航天局百年挑战计划的一部分,其灵感来源于美国国家航空航天局目前的阿尔忒弥斯计划,这是一项旨在在月球上建立长期人类存在的旗舰倡议。在SRCP2中,一组模拟移动机器人的任务是在逼真的月球模拟环境中报告挥发性物质的位置,并在该环境中将这些资源挖掘并运输到目标位置。在本文中,我们描述了我们针对SRCP2竞赛的解决方案,包括我们对漫游车移动性危险估计(如打滑程度、卡住状态)、静止恢复、漫游车与漫游车以及漫游车与基础设施对接、漫游车协调与合作以及协作任务规划和自主性的策略。我们的解决方案能够成功完成挑战赛要求的所有任务,使我们的团队在挑战赛所有参与者中获得第六名。我们的结果证明了使用自主机器人在月球上进行自主资源利用(原位资源利用,ISRU)的潜力。我们的结果还突出了逼真模拟环境在测试和验证机器人自主性及协调算法方面的有效性。使用我们的解决方案成功完成SRCP2挑战赛证明了协作式多机器人系统在月球资源利用方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bcf/10076576/f28f25462e6d/frobt-10-1149080-g001.jpg

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