ReSWARM 微重力飞行实验:在轨近距离操作的规划、控制和模型估计

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2024-04-15 DOI:10.1002/rob.22308
Bryce Doerr, Keenan Albee, Monica Ekal, Rodrigo Ventura, Richard Linares
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引用次数: 0

摘要

在轨近距离操作涉及机器人航天器的操纵和决策,越来越多的任务方案要求自主性,包括在轨组装、维修和宇航员协助。在这些方案中,在轨组装是一项使能技术,可使用较小的积木模块就地建造大型空间结构。然而,与许多这些方案一样,机器人在轨组装也涉及一些技术障碍,如改变系统模型。例如,由自由飞行的 "组装 "机器人移动的抓取模块会导致组合系统惯性发生重大变化,从而对自主堆栈的运动规划和控制部分产生连带影响。此外,在轨装配和其他情况下需要避免碰撞的运动规划,特别是在多个装配机器人和结构的 "建筑工地 "情况下运行时。这项工作详细介绍了解决自主微重力近距离操作中这些复杂因素的多项关键技术,特别是:(1)应用全局长地平线规划,使用考虑系统动态的离线和在线采样规划选项完成;(2)调整最近提出的 RATTLE 信息感知规划框架,用于在轨重新配置模型学习;以及(3)与稳健控制工具连接,使用当前系统知识提供低级控制稳健性。美国国家航空航天局(NASA)在国际空间站上使用 Astrobee 机器人进行的 "Relative Satellite sWarming and Robotic Maneuvering (ReSWARM) "实验针对自主在轨装配用例演示了这些方法。在提供 ReSWARM 实验结果的同时,还提供了重要的操作和实施细节,讨论了硬件实施的实用性以及在微重力环境下与 Astrobee 自由飞行机器人一起工作的独特方面。ReSWARM 为机器人近距离操作提供了一套基本的规划和控制工具,在微重力环境下对其进行了演示,并概述了未来自主自由飞行器需要考虑的一些重要硬件方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The ReSWARM microgravity flight experiments: Planning, control, and model estimation for on-orbit close proximity operations

On-orbit close proximity operations involve robotic spacecraft maneuvering and making decisions for a growing number of mission scenarios demanding autonomy, including on-orbit assembly, repair, and astronaut assistance. Of these scenarios, on-orbit assembly is an enabling technology that will allow large space structures to be built in situ, using smaller building block modules. However, like many of these scenarios, robotic on-orbit assembly involves several technical hurdles, such as changing system models. For instance, grappled modules moved by a free-flying “assembler” robot can cause significant changes in the combined system inertia, which have cascading impacts on motion planning and control portions of the autonomy stack. Further, on-orbit assembly and other scenarios require collision-avoiding motion planning, particularly when operating in a “construction site” scenario of multiple assembler robots and structures. Multiple key technologies that address these complicating factors for autonomous microgravity close proximity operations are detailed in this work, in particular: (1) application of global long-horizon planning, accomplished using offline and online sampling-based planner options that consider the system dynamics; (2) adaptation of the recently proposed RATTLE information-aware planning framework for on-orbit reconfiguration model learning; and (3) connection with robust control tools to provide low-level control robustness using current system knowledge. These approaches were demonstrated for an autonomous on-orbit assembly use case by the RElative Satellite sWarming and Robotic Maneuvering (ReSWARM) experiments using NASA's Astrobee robots on the International Space Station. Results of the ReSWARM experiments are provided along with significant operational and implementation detail discussing the practicalities of hardware implementation and unique aspects of working with the Astrobee free-flyer robots in microgravity. ReSWARM provides a base set of planning and control tools for robotic close proximity operations, demonstrates them in microgravity, and outlines some of the important hardware aspects that future autonomous free-flyers will need to consider.

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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
期刊最新文献
Issue Information Cover Image, Volume 41, Number 8, December 2024 Issue Information ForzaETH Race Stack—Scaled Autonomous Head‐to‐Head Racing on Fully Commercial Off‐the‐Shelf Hardware Research on Satellite Navigation Control of Six‐Crawler Machinery Based on Fuzzy PID Algorithm
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