期刊
SCIENCE ROBOTICS
卷 5, 期 41, 页码 -出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/scirobotics.aaz9239
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资金
- Office of Naval Research [N00014-17-1-2062, N00014-18-1-2277]
- NASA Space Technology Research Fellowship [80NSSC17K0164]
- SHERO project, a Future and Emerging Technologies (FET) program of the European Commission [828818]
- Air Force Office of Scientific Research Materials Chemistry Program [FA9550-18-1-0143]
- NSF Emerging Frontiers and Multidisciplinary Activities Program [1830870]
- Emerging Frontiers & Multidisciplinary Activities
- Directorate For Engineering [1830870] Funding Source: National Science Foundation
- EPSRC [EP/T00519X/1] Funding Source: UKRI
Soft robots have garnered interest for real-world applications because of their intrinsic safety embedded at the material level. These robots use deformable materials capable of shape and behavioral changes and allow conformable physical contact for manipulation. Yet, with the introduction of soft and stretchable materials to robotic systems comes a myriad of challenges for sensor integration, including multimodal sensing capable of stretching, embedment of high-resolution but large-area sensor arrays, and sensor fusion with an increasing volume of data. This Review explores the emerging confluence of e-skins and machine learning, with a focus on how roboticists can combine recent developments from the two fields to build autonomous, deployable soft robots, integrated with capabilities for informative touch and proprioception to stand up to the challenges of real-world environments.
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