张拉整体
机器人学
机器人
人工智能
软机器人
刚度(电磁)
爬行
计算机科学
工程类
结构工程
医学
解剖
作者
Dylan Shah,Joran Booth,Robert Baines,Kun Wang,Massimo Vespignani,Kostas E. Bekris,Rebecca Kramer‐Bottiglio
出处
期刊:Soft robotics
[Mary Ann Liebert]
日期:2021-10-27
卷期号:9 (4): 639-656
被引量:69
标识
DOI:10.1089/soro.2020.0170
摘要
Numerous recent advances in robotics have been inspired by the biological principle of tensile integrity-or "tensegrity"-to achieve remarkable feats of dexterity and resilience. Tensegrity robots contain compliant networks of rigid struts and soft cables, allowing them to change their shape by adjusting their internal tension. Local rigidity along the struts provides support to carry electronics and scientific payloads, while global compliance enabled by the flexible interconnections of struts and cables allows a tensegrity to distribute impacts and prevent damage. Numerous techniques have been proposed for designing and simulating tensegrity robots, giving rise to a wide range of locomotion modes, including rolling, vibrating, hopping, and crawling. In this study, we review progress in the burgeoning field of tensegrity robotics, highlighting several emerging challenges, including automated design, state sensing, and kinodynamic motion planning.
科研通智能强力驱动
Strongly Powered by AbleSci AI