Adaptive Manipulation
Adaptive Manipulation is a robotic manipulation strategy that dynamically adjusts control policies or motion plans in response to real-time sensory feedback and environmental uncertainties, thereby enabling robust and generalizable interaction with objects in unstructured or changing environments.
74
Publications
3.9K
Citations
201
Authors
99
Institutions
Publications per year
2017–2026
24
Parents
74
A Neural Network Controller for Continuum Robots
David Braganza, D.M. Dawson, Ian D. Walker et al. · IEEE Transactions on Robotics · 2007 · 189 citations
Engineering, Mechanical Engineering, Robotics Engineering +17
1–5 of 74
201
3
h-index
Massachusetts Institute of Technology, United States
2 publications · 209 citations
2
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2
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2
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2
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1–5 of 201
99
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
14 publications
1.4K citations
Clemson University
Clemson, United States
3 h-index
9 publications
707 citations
Technical University of Munich
Munich, Germany
2 h-index
4 publications
425 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
79 citations
Stanford University
Stanford, United States
2 h-index
2 publications
273 citations
California Institute of Technology
Pasadena, United States
2 h-index
5 publications
239 citations

University of Auckland
Auckland, New Zealand
2 h-index
2 publications
56 citations

Harbin Engineering University
Harbin, China
2 h-index
5 publications
112 citations
1–8 of 99
3 publications · 168 citations
3
h-index
2 publications · 85 citations
2
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2 publications · 43 citations
2
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2 publications · 92 citations
2
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2 publications · 110 citations
2
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1–5