Robotic Manipulation Planning
Robotic Manipulation Planning is a computational framework within model-based robot learning that specifically addresses the generation of feasible and optimal sequences of robot motions and interactions to achieve dexterous manipulation tasks in structured environments.
542
Publications
32.7K
Citations
1.4K
Authors
365
Institutions
Publications per year
2017–2026
234
Parents
542
CHOMP: Gradient optimization techniques for efficient motion planning
Nathan Ratliff, Matt Zucker, J. Andrew Bagnell et al. · 2009 · 986 citations · Full text
A Human Aware Mobile Robot Motion Planner
Emrah Akin Sisbot, Luis F. Marín-Urías, Rachid Alami et al. · IEEE Transactions on Robotics · 2007 · 485 citations
1–5 of 542
1.4K
16
h-index
Massachusetts Institute of Technology, United States
19 publications · 1.4K citations
15
h-index
15
h-index
15
h-index
14
h-index
1–5 of 1.4K
365
Carnegie Mellon University
Pittsburgh, United States
36 h-index
146 publications
18.6K citations
Massachusetts Institute of Technology
Cambridge, United States
24 h-index
107 publications
6.2K citations
University of California, Berkeley
Berkeley, United States
23 h-index
103 publications
8.7K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
69 publications
5.9K citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
15 h-index
47 publications
4.4K citations
Technische Universität Berlin
Berlin, Germany
14 h-index
44 publications
2.4K citations
University of Pennsylvania
Philadelphia, United States
13 h-index
24 publications
1.3K citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
13 h-index
27 publications
1.5K citations
1–8 of 365
35 publications · 1.7K citations
22
h-index
Repository · 37 publications · 2K citations
21
h-index
IJRR · 24 publications · 3K citations
20
h-index
14 publications · 1.7K citations
13
h-index
10 publications · 446 citations
10
h-index
1–5