Shape-Conformable Suction Cups with Controllable Adaptive Suction on Complex Surfaces

Research output: Contribution to journalArticle (Academic Journal)peer-review

6 Citations (Scopus)

Abstract

Suction is widely used in industry, but the adaptation of state-of-the-art suction cups on complex surfaces (i.e., curved, cornered, uneven, rough, etc.) are still limited. In this letter, we present a novel shape-conformable suction mechanism to achieve highly-adaptive suction on complex surfaces. The shape-conformable adaptive suction is obtained by squeezing a soft multi-layer structure on the substrate, to form a shape-to-roughness sealed suction region. Based on this mechanism, two shape-conformable suction cups (SCSCs) – a displacement-driven shape-conformable suction cup (SDisp) and a force-driven shape-conformable suction cup (SForce) – are designed. They both achieve highly-adaptive suction on challenging surface topographies including highly-curved, cornered, textured, uneven and tilted surfaces. Particularly, SDisp has better adaptation (e.g., on a 90∘ corner and a balloon) and SForce is more lightweight (26 g) and compact (∅46×35 mm), and exhibits quicker suction response (0.4 s). We analyse the underlying adaptive suction mechanism by the physical model, and demonstrate its adaptive suction capability by qualitatively comparing it with previous suction cups. We finally conclude design principles for improving suction adaptation. We believe the proposed shape-conformable suction mechanism provides a novel solution to realize adaptive suction on complex surfaces in next-generation robotic gripping, anchoring, and manipulation.
Original languageEnglish
Pages (from-to)7735-7742
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume8
Issue number11
Early online date4 Oct 2023
DOIs
Publication statusPublished - 1 Nov 2023

Bibliographical note

Funding Information:
The work of Tianqi Yue was supported in part by Chinese Scholarship Council under Awards 201906120027 and (EPSRC) EP/R02961X/1. The work of Jonathan Rossiter was supported in part by EPSRC Research under Grants EP/V062158/1, EP/T020792/1, EP/V026518/1, EP/S026096/1, and EP/R02961X/1, and in part by the Royal Academy of Engineering as a Chair in Emerging Technologies.

Publisher Copyright:
© 2016 IEEE.

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