Human-robot Collision Avoidance

Human-Robot Collision Avoidance is a robotic safety framework that enables a robot to dynamically detect, predict, and circumvent potential physical contacts with humans in shared workspaces through real-time sensor integration and motion planning.

296

Publications

11.4K

Citations

932

Authors

312

Institutions

Publications per year

2017–2026

145

Authors

932

  1. DW
    Dirk Wollherr

    Technical University of Munich, Germany

    6 publications · 210 citations

    6

    h-index

  2. MA
    Matthias Althoff

    Technical University of Munich, Germany

    4 publications · 124 citations

    5

    h-index

  3. AM
    Andrea Maria Zanchettin

    Politecnico di Milano, Italy

    5 publications · 188 citations

    5

    h-index

  4. PR
    Paolo Rocco

    Politecnico di Milano, Italy

    5 publications · 188 citations

    5

    h-index

  5. MT
    Masayoshi Tomizuka

    University of California, Berkeley, United States

    4 publications · 184 citations

    5

    h-index

1–5 of 932

Venues

  1. IEEE Robotics and Automation Letters

    8 publications · 438 citations

    10

    h-index

  2. Robotics and Computer-Integrated Manufacturing

    10 publications · 786 citations

    10

    h-index

  3. Sensors

    6 publications · 132 citations

    6

    h-index

  4. IEEE Access

    4 publications · 85 citations

    5

    h-index

  5. International Journal of Social Robotics

    5 publications · 203 citations

    5

    h-index

1–5