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Gecko-Like Dry Adhesive Surfaces and Their Applications: A Review

Journal of Bionic Engineering 2021年第5期18卷 1011-1044页

作者： Wei Wang Yang Liu Zongwu Xie State Key Laboratory of robotics and System Harbin Institute of TechnologyHarbin 150001China

Gecko has the ability to climb flexibly on various natural surfaces because of its fine layered adhesion system of foot,which has motivated researchers to carry out a lot of researches on *** progresses have been made in the gecko-like dry adhesive surfaces in the past 2 decades,such as the mechanical measurement of adhesive characteristics,the theoretical modeling of adhesive mechanism and the production of synthetic dry adhesive *** application researches have been carried out as *** paper focuses on the investigations made in recent years on the gecko-like dry adhesive surfaces,so as to lay the foundation for further research ***,the adhesion system of gecko’s foot and its excellent adhesive characteristics are reviewed,and the adhesive models describing the gecko adhesion are summarily reviewed according to the diff erent contact ***,some gecko-like dry adhesive surfaces with outstanding adhesive characteristics are ***,some application researches based on the gecko-like dry adhesive surfaces are ***,the full text is summarized and the problems to be solved on the gecko-like dry adhesive surfaces are prospected.

关键词： Gecko adhesion Gecko-like dry adhesive surfaces Climbing robot robot gripper Medical adhesive tape

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Measurement of robot Wrist Forces Based on MLF Network

Measurement of Robot Wrist Forces Based on MLF Network

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ICEMI'2005第七届国际电子测量与仪器学术会议

作者： Tong Libiao 1 Mei Tao 2 Xu Kejun 3 Lu Wenjun 1 Hong Xin 1 (1 New Star Research Institute of Applied Technology Hefei 230031 China) (2 Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 China) (3 Institute of Automation Hefei University of Technology Hefei 230031 China)

Quantitative analysis of wrist forces for robot grippers is an important issue for robot control and operation safety. An approach is proposed to deduce the wrist forces from distributed force sensors

关键词： Sensor fusion wrist force robot gripper MLF neural network.

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