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Soft-bubble: A highly compliant dense geometry tactile sensor for robot manipulation

Authors :
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Alspach, Alex
Hashimoto, Kunimatsu
Kuppuswamy, Naveen
Tedrake, Russell L
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Alspach, Alex
Hashimoto, Kunimatsu
Kuppuswamy, Naveen
Tedrake, Russell L
Source :
arXiv
Publication Year :
2021

Abstract

© 2019 IEEE. Incorporating effective tactile sensing and mechanical compliance is key towards enabling robust and safe operation of robots in unknown, uncertain and cluttered environments. Towards realizing this goal, we present a lightweight, easy-to-build, highly compliant dense geometry sensor and end effector that comprises an inflated latex membrane with a depth sensor behind it. We present the motivations and the hardware design for this Soft-bubble and demonstrate its capabilities through example tasks including tactile-object classification, pose estimation and tracking, and nonprehensile object manipulation. We also present initial experiments to show the importance of high-resolution geometry sensing for tactile tasks and discuss applications in robust manipulation.

Details

Database :
OAIster
Journal :
arXiv
Notes :
application/octet-stream, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1342474714
Document Type :
Electronic Resource