Model-based Manipulation
Model-Based Manipulation is a manipulation learning approach that relies on an explicitly constructed dynamic or kinematic model of the environment to plan and execute robotic interactions through predictive simulation and optimization.
95
Publications
5K
Citations
309
Authors
98
Institutions
Publications per year
2017–2026
35
Parents
95
A Survey on Learning-Based Robotic Grasping
Kilian Kleeberger, Richard Bormann, Werner Kraus et al. · Current Robotics Reports · 2020 · 276 citations · Full text
dm_control: Software and tasks for continuous control
Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron et al. · Software Impacts · 2020 · 187 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
6 h-index
15 publications
1.8K citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
17 publications
519 citations
Stanford University
Stanford, United States
4 h-index
15 publications
958 citations
University of Southern California
Los Angeles, United States
3 h-index
6 publications
160 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
23 publications
412 citations
California Institute of Technology
Pasadena, United States
2 h-index
7 publications
207 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
101 citations
Yale University
New Haven, United States
2 h-index
2 publications
617 citations
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Repository · 6 publications · 374 citations
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4 publications · 290 citations
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3 publications · 90 citations
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Conference · 2 publications · 34 citations
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2 publications · 102 citations
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