Electrically active smart adhesive for a perching-and-takeoff robot

Author:

Liu Haoran12ORCID,Tian Hongmiao1ORCID,Wang Duorui1ORCID,Yuan Tengfei1,Zhang Jinyu1,Liu Guifang1,Li Xiangming12,Chen Xiaoliang12ORCID,Wang Chunhui1,Cai Shengqiang3ORCID,Shao Jinyou12ORCID

Affiliation:

1. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, No.28, Xianning West Road, Xi’an 710049, Shaanxi, P.R. China.

2. Frontier Institute of Science and Technology (FIST), Xi’an Jiaotong University, No.28, Xianning West Road, Xi’an 710049, Shaanxi, P.R. China.

3. Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA 92093, USA.

Abstract

Perching-and-takeoff robot can effectively economize onboard power and achieve long endurance. However, dynamic perching on moving targets for a perching-and-takeoff robot is still challenging due to less autonomy to dynamically land, tremendous impact during landing, and weak contact adaptability to perching surfaces. Here, a self-sensing, impact-resistant, and contact-adaptable perching-and-takeoff robot based on all-in-one electrically active smart adhesives is proposed to reversibly perch on moving/static dry/wet surfaces and economize onboard energy. Thereinto, attachment structures with discrete pillars have contact adaptability on different dry/wet surfaces, stable adhesion, and anti-rebound; sandwich-like artificial muscles lower weight, enhance damping, simplify control, and achieve fast adhesion switching (on-off ratio approaching in several seconds); and the flexible pressure (0.204% per kilopascal)–and–deformation (force resolution, <2.5 millinewton) sensor enables the robot’s autonomy. Thus, the perching-and-takeoff robot equipped with electrically active smart adhesives exhibits tremendous advantages of soft materials over their rigid counterparts and promising application prospect of dynamic perching on moving targets.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3