Multiplexed Manipulation: Versatile Multimodal Grasping via a Hybrid Soft Gripper

© 2020 IEEE. The success of hybrid suction + parallel-jaw grippers in the Amazon Robotics/Picking Challenge have demonstrated the effectiveness of multimodal grasping approaches. However, existing multimodal grippers combine grasping modes in isolation and do not incorporate the benefits of complian...

Full description

Bibliographic Details
Main Authors: Chin, Lillian (Author), Barscevicius, Felipe (Author), Lipton, Jeffrey (Author), Rus, Daniela (Author)
Format: Article
Language:English
Published: IEEE, 2021-11-03T18:35:44Z.
Subjects:
Online Access:Get fulltext
LEADER 01547 am a22001933u 4500
001 137301
042 |a dc 
100 1 0 |a Chin, Lillian  |e author 
700 1 0 |a Barscevicius, Felipe  |e author 
700 1 0 |a Lipton, Jeffrey  |e author 
700 1 0 |a Rus, Daniela  |e author 
245 0 0 |a Multiplexed Manipulation: Versatile Multimodal Grasping via a Hybrid Soft Gripper 
260 |b IEEE,   |c 2021-11-03T18:35:44Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/137301 
520 |a © 2020 IEEE. The success of hybrid suction + parallel-jaw grippers in the Amazon Robotics/Picking Challenge have demonstrated the effectiveness of multimodal grasping approaches. However, existing multimodal grippers combine grasping modes in isolation and do not incorporate the benefits of compliance found in soft robotic manipulators. In this paper, we present a gripper that integrates three modes of grasping: suction, parallel jaw, and soft fingers. Using complaint handed shearing auxetics actuators as the foundation, this gripper is able to multiplex manipulation by creating unique grasping primitives through permutations of these grasping techniques. This gripper is able to grasp 88% of tested objects, 14% of which could only be grasped using a combination of grasping modes. The gripper is also able to perform in-hand object re-orientation of flat objects without the need for pre-grasp manipulation. 
546 |a en 
655 7 |a Article 
773 |t 10.1109/icra40945.2020.9196626 
773 |t Proceedings - IEEE International Conference on Robotics and Automation