KnitSkin: Machine-Knitted Scaled Skin for Locomotion

要旨

We present KnitSkin, a bio-inspired sleeve that can traverse diverse cylindrical terrains, ranging from a user’s forearm at a wearable scale, to pipes and tree branches at an environmental scale. Fabricated with a machine knitted substrate, the sleeve configures a stepped array of knitted scales that exhibit anisotropic friction. Coupled with the extension of actuators enclosed in the sleeve, the scales enable effective directional locomotion on cylindrical surfaces with varying slopes, textures, and curvatures. KnitSkin’s substrates are characterized by scales whose geometries and materials can be fine-tuned and channels that can accommodate diverse actuators. We introduce the design elements of KnitSkin in which we characterize a series of substrate parameters and their resulting anisotropic behaviors. In evaluating the locomotion, we examine the variables associated with the surface and actuator characteristics. KnitSkin obtains diverse applications across different scales, including wearable interfaces, industrial pipe-monitoring, to agricultural robots.

著者
Jin Hee (Heather) Kim
Cornell University, Ithaca, New York, United States
Shreyas Dilip. Patil
Cornell University, ITHACA, New York, United States
Sarina Matson
Cornell University, Ithaca, New York, United States
Melissa Conroy
Cornell University, Ithaca, New York, United States
Cindy Hsin-Liu Kao
Cornell University, Ithaca, New York, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3502142

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Wearables Devices

290
5 件の発表
2022-05-03 18:00:00
2022-05-03 19:15:00