Self-collision Analysis
Self-Collision Analysis is a computational method within closed-chain kinematics that identifies and prevents unintended contact between distinct links of a kinematic chain during motion planning by systematically evaluating their spatial proximity throughout the chain's configurational space.
50
Publications
2.3K
Citations
129
Authors
57
Institutions
Publications per year
2017–2026
7
Parents
50
David Baraff, Andrew Witkin, Michael Kass · 2003 · 183 citations
David Baraff, Andrew Witkin, Michael Kass · ACM Transactions on Graphics · 2003 · 145 citations
1–5 of 50
129
University of North Carolina at Chapel Hill, United States
5 publications · 259 citations
5
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 129
57

Zhejiang University
Hangzhou, China
4 h-index
10 publications
216 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
18 publications
1.3K citations
Walt Disney (United States)
Burbank, United States
4 h-index
10 publications
499 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
3 h-index
11 publications
210 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
6 publications
109 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
3 publications
46 citations

McGill University
Montreal, Canada
2 h-index
2 publications
64 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
130 citations
1–8 of 57
TOG · 7 publications · 552 citations
7
h-index
2 publications · 206 citations
2
h-index
2 publications · 64 citations
2
h-index
2 publications · 35 citations
2
h-index
Conference · 1 publications · 20 citations
1
h-index
1–5