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MANIPULATION

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

Alex Alspach, Kunimatsu Hashimoto, Naveen Kuppuswamy, Russ Tedrake

Year
2019
Citations
4

Abstract

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.

Keywords

Tactile sensorRobotComputer scienceComputer visionArtificial intelligenceObject (grammar)Robot end effectorKey (lock)Soft roboticsTracking (education)

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