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Universal SMP gripper with massive and selective capabilities for multiscaled, arbitrarily shaped objects

Changhong Linghu (Co-first Author), Shun Zhang (Co-first Author), Chengjun Wang, Kaixin Yu, Chenglong Li, Yinjia Zeng, Haodong Zhu, Xiaohui Jin, Zhenyu You, Jizhou Song*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Grippers are widely used for the gripping, manipulation, and assembly of objects with a wide range of scales, shapes, and quantities in research, industry, and our daily lives. A simple yet universal solution is very challenging. Here, we manage to address this challenge utilizing a simple shape memory polymer (SMP) block. The embedding of objects into the SMP enables the gripping while the shape recovery upon stimulation facilitates the releasing. Systematic studies show that friction, suction, and interlocking effects dominate the grip force individually or collectively. This universal SMP gripper design provides a versatile solution to grip and manipulate multiscaled (from centimeter scale down to 10-μm scale) 3D objects with arbitrary shapes, in individual, deterministic, or massive, selective ways. These extraordinary capabilities are demonstrated by the gripping and manipulation of macroscaled objects, mesoscaled steel sphere arrays and microparticles, and the selective and patterned transfer printing of micro light-emitting diodes. © 2020 The Authors, some rights reserved; exclusive licensee
American Association for the Advancement of Science.
Original languageEnglish
Article numbereaay5120
Number of pages11
JournalScience Advances
Volume6
Issue number7
Online published14 Feb 2020
DOIs
Publication statusPublished - 14 Feb 2020
Externally publishedYes

Funding

We acknowledge the support from the National Basic Research Program (grant no. 2015CB351901), the National Natural Science Foundation of China (grant nos. 11872331, 11622221, and 11621062), the Shenzhen Science and Technology Program (grant no. JCY20170816172454095), and the Fundamental Research Funds for the Central Universities.

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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