机器人
软机器人
模块化设计
机器人学
自重构模块化机器人
比例(比率)
人工智能
软质材料
工程类
计算机科学
控制工程
模拟
人机交互
机器人控制
移动机器人
纳米技术
操作系统
物理
量子力学
材料科学
作者
Shuguang Li,Samer A Awale,Katharine E Bacher,Thomas Büchner,Cosimo Della Santina,Robert J. Wood,Daniela Rus
出处
期刊:Soft robotics
[Mary Ann Liebert]
日期:2022-04-01
卷期号:9 (2): 324-336
被引量:24
标识
DOI:10.1089/soro.2020.0123
摘要
Today's use of large-scale industrial robots is enabling extraordinary achievement on the assembly line, but these robots remain isolated from the humans on the factory floor because they are very powerful, and thus dangerous to be around. In contrast, the soft robotics research community has proposed soft robots that are safe for human environments. The current state of the art enables the creation of small-scale soft robotic devices. In this article we address the gap between small-scale soft robots and the need for human-sized safe robots by introducing a new soft robotic module and multiple human-scale robot configurations based on this module. We tackle large-scale soft robots by presenting a modular and reconfigurable soft robotic platform that can be used to build fully functional and untethered meter-scale soft robots. These findings indicate that a new wave of human-scale soft robots can be an alternative to classic rigid-bodied robots in tasks and environments where humans and machines can work side by side with capabilities that include, but are not limited to, autonomous legged locomotion and grasping.
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