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A gecko-inspired adhesive robotic end effector for critical-contact manipulation

  • Zhongyi Chu*
  • , Jie Deng
  • , Lin Su
  • , Jing Cui
  • , Fuchun Sun
  • *此作品的通讯作者
  • Beihang University
  • Beijing University of Technology
  • Tsinghua University

科研成果: 期刊稿件文章同行评审

摘要

It is an emerging challenge for robots to achieve non-destructive pick-and-place manipulation for delicate objects under low normal preload, i.e., critical-contact manipulation. The prominent on-off controllable property of the gecko-inspired microwedge adhesive makes critical-contact manipulation possible for robotic end effectors. However, it is difficult for end effectors to actuate the micron-scale microwedge adhesive and detect the adhesion state. In this paper, a gecko-inspired adhesive robotic end effector for critical-contact manipulation is proposed, which consists of a half-scissor variable-scale actuator, a 3-axis high-sensitivity isotropic flexible capacitive tactile sensor, and the microwedge adhesive. The half-scissor variable-scale actuator is designed to provide pure large shear loading for the microwedge adhesive at micron-scale displacement by merely controlling the normal macro-scale displacement of the actuator. Besides, the 3-axis high-sensitivity isotropic flexible capacitive tactile sensor is designed for accurate detection of multi-axis contact forces and the adhesion state between the adhesive and objects to ensure the success of the critical-contact manipulation. The sensor can sense the shear and normal forces by detecting variations of the overlap and distance between electrodes, while the design of the finger-like electrodes improves the sensitivity. In addition, a set of experiments on manipulating objects are implemented and the results show that the proposed robotic end effector can provide pure large shear loading for the microwedge adhesive at micron-scale displacement and can detect the adhesion state between the microwedge adhesive and objects accurately to stably grasp delicate objects in critical-contact condition.

源语言英语
期刊论文编号182203
期刊Science China Information Sciences
65
8
DOI
出版状态已出版 - 8月 2022

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