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

Authors

129

  1. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    5 publications · 259 citations

    5

    h-index

  2. DH
    Dan Halperin

    Tel Aviv University, Israel

    3 publications · 68 citations

    3

    h-index

  3. GB
    George Baciu

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 65 citations

    2

    h-index

  4. RT
    Rasmus Tamstorf

    Walt Disney (United States), United States

    2 publications · 163 citations

    2

    h-index

  5. VR
    Vicente Ruiz de Angulo

    Universitat Politècnica de Catalunya, Spain

    2 publications · 33 citations

    2

    h-index

1–5 of 129

Venues

  1. ACM Transactions on Graphics

    TOG · 7 publications · 552 citations

    7

    h-index

  2. Computer Graphics Forum

    2 publications · 206 citations

    2

    h-index

  3. Journal of Robotic Systems

    2 publications · 64 citations

    2

    h-index

  4. IEEE Robotics and Automation Letters

    2 publications · 35 citations

    2

    h-index

  5. Symposium on Computer Animation

    Conference · 1 publications · 20 citations

    1

    h-index

1–5