Locomotion as manipulation with ReachBot

IF 26.1 1区 计算机科学 Q1 ROBOTICS
Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu Lapôtre, Marco Pavone, Mark R. Cutkosky
{"title":"Locomotion as manipulation with ReachBot","authors":"Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu Lapôtre, Marco Pavone, Mark R. Cutkosky","doi":"10.1126/scirobotics.adi9762","DOIUrl":null,"url":null,"abstract":"Caves and lava tubes on the Moon and Mars are sites of geological and astrobiological interest but consist of terrain that is inaccessible with traditional robot locomotion. To support the exploration of these sites, we present ReachBot, a robot that uses extendable booms as appendages to manipulate itself with respect to irregular rock surfaces. The booms terminate in grippers equipped with microspines and provide ReachBot with a large workspace, allowing it to achieve force closure in enclosed spaces, such as the walls of a lava tube. To propel ReachBot, we present a contact-before-motion planner for nongaited legged locomotion that uses internal force control, similar to a multifingered hand, to keep its long, slender booms in tension. Motion planning also depends on finding and executing secure grips on rock features. We used a Monte Carlo simulation to inform gripper design and predict grasp strength and variability. In addition, we used a two-step perception system to identify possible grasp locations. To validate our approach and mechanisms under realistic conditions, we deployed a single ReachBot arm and gripper in a lava tube in the Mojave Desert. The field test confirmed that ReachBot will find many targets for secure grasps with the proposed kinematic design.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"100 1","pages":""},"PeriodicalIF":26.1000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1126/scirobotics.adi9762","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Caves and lava tubes on the Moon and Mars are sites of geological and astrobiological interest but consist of terrain that is inaccessible with traditional robot locomotion. To support the exploration of these sites, we present ReachBot, a robot that uses extendable booms as appendages to manipulate itself with respect to irregular rock surfaces. The booms terminate in grippers equipped with microspines and provide ReachBot with a large workspace, allowing it to achieve force closure in enclosed spaces, such as the walls of a lava tube. To propel ReachBot, we present a contact-before-motion planner for nongaited legged locomotion that uses internal force control, similar to a multifingered hand, to keep its long, slender booms in tension. Motion planning also depends on finding and executing secure grips on rock features. We used a Monte Carlo simulation to inform gripper design and predict grasp strength and variability. In addition, we used a two-step perception system to identify possible grasp locations. To validate our approach and mechanisms under realistic conditions, we deployed a single ReachBot arm and gripper in a lava tube in the Mojave Desert. The field test confirmed that ReachBot will find many targets for secure grasps with the proposed kinematic design.
用 ReachBot 将运动变为操控
月球和火星上的洞穴和熔岩管是具有地质和天体生物学意义的地点,但其中的地形是传统机器人运动无法到达的。为了支持对这些地点的探索,我们推出了 ReachBot 机器人,它使用可伸展的吊杆作为附属装置,在不规则的岩石表面进行自我操控。吊杆的末端是装有微型螺旋桨的抓手,为 ReachBot 提供了较大的工作空间,使其能够在熔岩管壁等封闭空间内实现力闭合。为了推动 ReachBot,我们提出了一种先接触后运动的计划器,用于无铠甲的腿部运动,该计划器使用内力控制(类似于多指手)来保持其细长的臂杆处于张紧状态。运动规划还取决于寻找和执行对岩石特征的安全抓取。我们使用蒙特卡洛模拟为抓取器设计提供信息,并预测抓取强度和可变性。此外,我们还使用了两步感知系统来确定可能的抓取位置。为了在现实条件下验证我们的方法和机制,我们在莫哈韦沙漠的熔岩管中部署了单个 ReachBot 机械臂和抓手。实地测试证实,ReachBot 可以通过建议的运动学设计找到许多安全抓取的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信