Closed-loop Manipulation
Closed-Loop Manipulation is a dexterous manipulation framework that continuously integrates real-time sensory feedback to dynamically adjust and refine control policies during interaction, thereby distinguishing itself from open-loop approaches by its adaptive reliance on ongoing perceptual data for precise object handling.
44
Publications
2.2K
Citations
143
Authors
49
Institutions
Publications per year
2017–2026
19
Parents
44
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
Chen Wang, Roberto Martín-Martín, Danfei Xu et al. · 2020 · 159 citations
Addisu Z. Taddese, Piotr R. Slawinski, Marco Pirotta et al. · The International Journal of Robotics Research · 2018 · 149 citations · Full text
Engineering, Mechanical Engineering, Robotics Engineering +17
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49
Columbia University
New York, United States
3 h-index
6 publications
349 citations

McGill University
Montreal, Canada
3 h-index
15 publications
490 citations

University of Auckland
Auckland, New Zealand
3 h-index
2 publications
75 citations
Stanford University
Stanford, United States
2 h-index
10 publications
855 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
99 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
4 publications
191 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
5 publications
286 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
6 publications
513 citations
1–8 of 49
4 publications · 305 citations
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2 publications · 30 citations
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1 publications · 77 citations
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1 publications · 88 citations
1
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1 publications · 199 citations
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