Robotic Skins With Integrated Actuation, Sensing, and Variable Stiffness

机器人 软机器人 执行机构 背景(考古学) 模块化设计 仿生学 触摸板 气动执行机构 计算机科学 工程类 电容感应 机器人学 压阻效应 控制工程 人工智能 计算机硬件 电气工程 古生物学 操作系统 生物
作者
Dylan Shah,Stephanie J. Woodman,Trevor L. Buckner,Ellen J. Yang,Rebecca Kramer‐Bottiglio
出处
期刊:IEEE robotics and automation letters [Institute of Electrical and Electronics Engineers]
卷期号:9 (2): 1147-1154 被引量:10
标识
DOI:10.1109/lra.2023.3337702
摘要

Soft robots are often designed to accomplish a single function and cannot be repurposed for other tasks. In an effort to create multi-functional robots, researchers have proposed robotic skins, which are flexible, planar substrates with embedded actuation and sensing that can be applied to different soft bodies. By “roboticizing” otherwise inert bodies from their surface, robotic skins can be repurposed to create bespoke soft robots as needed. However, current robotic skins are unable to support their own structure and can only attain a single function in the absence of a host. Here, we present a variable stiffness robotic skin (VSRS), a concept that integrates stiffness-changing capabilities, sensing, and actuation into a single, thin modular robot design. Reconfiguring, reconnecting, and reshaping VSRSs allows them to achieve new functions both on and in the absence of a host body. We demonstrate how a single set of skins with PneuFlex-style pneumatic actuators, a geometrically-patterned polyethylene terepthalate (PET) jamming membrane, and liquid metal-based capacitive sensors can operate as closed-loop locomotion robots while being able to support weight during locomotion, as well as stiffen to hold complex shapes. To highlight the generality of the concept and illuminate the design space, we also test a second embodiment with McKibben actuators and a woven-mesh jamming membrane that can be reconfigured to serve in a manipulation context. We see VSRSs having application as adaptable linkages in larger robots, smart reconfigurable garments, and reconfigurable active structures, thereby allowing the robotic system to adapt to time-varying task requirements.
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