Co-Learning of Task and Sensor Placement for Soft Robotics

Unlike rigid robots which operate with compact degrees of freedom, soft robots must reason about an infinite dimensional state space. Mapping this continuum state space presents significant challenges, especially when working with a finite set of discrete sensors. Reconstructing the robot's sta...

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Bibliographic Details
Published in:	IEEE robotics and automation letters Vol. 6; no. 2; pp. 1208 - 1215
Main Authors:	Spielberg, Andrew, Amini, Alexander, Chin, Lillian, Matusik, Wojciech, Rus, Daniela
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms and learning for soft robots Cognitive tasks control deep learning methods Graphics Licenses Machine learning Magnetic heads Magnetization modeling Morphology Performance evaluation Placement Plastics Portable document format Proprioception Robot dynamics Robots Sensors Soft robot materials and design Soft robotics soft sensors and actuators Tactile sensors (robotics) Task complexity Terminology
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
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