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Abstract
Suction adhesion is widely used by natural organisms for gripping irregular objects (e.g., rocks), but their artificial counterparts show less adaptation in the same situation. In addition, they can require complex sensing and control systems to function. In this paper, we present a contact-triggered suction cup with the ability to adapt to objects with complex and irregular shapes. The gripper has two states to adhere and release the object and the transformation from release to adhesion is passively triggered by the contact force, making it an autonomous gripper and removing the need for complex driven system. Once the suction cup experiences a contact force above a set threshold, it will automatically capture the contacting object. Only the resetting transformation from adhesion to release is actuated by a vacuum pump. The maximal suction force up to 15.1 N is generated on the non-flat surface with the suction cup diameter of 30 mm. The performance of this gripper is demonstrated on a 7 DoF robot arm which successfully picked up a variety of irregular objects. We believe that this contact-triggered gripper provides a new solution for low cost, energy-effective and adaptive soft gripping.
Original language | English |
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Pages (from-to) | 3600 - 3607 |
Number of pages | 8 |
Journal | IEEE Robotics and Automation Letters |
Volume | 7 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2022 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Soft robotic gripper
- Suction
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Dive into the research topics of 'A Contact-triggered Adaptive Soft Suction Cup'. Together they form a unique fingerprint.Projects
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UKRI Trustworthy Autonomous Systems Node In Functionality
Windsor, S. P., Ives, J. C. S., Downer, J. R., Rossiter, J. M., Eder, K. I. & Hauert, S.
1/11/20 → 30/04/24
Project: Research, Parent
Datasets
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Data for suction cup paper - ICRA-RAL 2022
Rossiter, J. M. (Creator), University of Bristol, 19 Jan 2022
DOI: 10.5523/bris.1d3nyztdx0vkw2kcdotlo4ezm0, http://data.bris.ac.uk/data/dataset/1d3nyztdx0vkw2kcdotlo4ezm0
Dataset