High-dimensional Configuration Spaces
High-Dimensional Configuration Spaces is a robot configuration space characterized by a large number of degrees of freedom, where the dimensionality significantly increases the complexity of motion planning and navigation due to the exponential growth of the search space.
219
Publications
26.9K
Citations
468
Authors
224
Institutions
Publications per year
2017–2026
59
219
Articulated body motion capture by annealed particle filtering
J. Deutscher, A. Blake, Ian Reid · 2002 · 862 citations
Randomized kinodynamic planning
Steven M. LaValle, James Kuffner · 2003 · 666 citations
Engineering, Mechanical Engineering, Robotics Engineering +17
1–5 of 219
468
7
h-index
7
h-index
6
h-index
6
h-index
University of Illinois Urbana-Champaign, United States
5 publications · 7.5K citations
5
h-index
1–5 of 468
224
Stanford University
Stanford, United States
15 h-index
35 publications
22.6K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
30 publications
2.3K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
24 publications
1.7K citations

Rice University
Houston, United States
7 h-index
13 publications
729 citations
University of California, Berkeley
Berkeley, United States
7 h-index
19 publications
1.5K citations
Iowa State University
Ames, United States
6 h-index
10 publications
8K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
15 publications
445 citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
7 publications
294 citations
1–8 of 224
IJRR · 18 publications · 5.2K citations
17
h-index
Repository · 10 publications · 186 citations
10
h-index
7 publications · 943 citations
7
h-index
Conference · 4 publications · 221 citations
4
h-index
4 publications · 109 citations
4
h-index
1–5