Task Planning For Collaboration

Task Planning for Collaboration is a computational framework that specifies the sequencing, allocation, and coordination of actions between human and robotic agents to achieve a shared objective in shared workspaces, distinguishing itself from general task planning by explicitly incorporating mutual awareness, safety constraints, and adaptive response mechanisms inherent to collaborative industrial robotics.

124

Publications

7.5K

Citations

391

Authors

140

Institutions

Publications per year

2017–2026

64

Authors

391

  1. RA
    Rachid Alami

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    7 publications · 243 citations

    7

    h-index

  2. MF
    Marco Faroni

    University of Brescia, Italy

    5 publications · 114 citations

    5

    h-index

  3. NP
    Nicola Pedrocchi

    National Research Council, Italy

    5 publications · 114 citations

    5

    h-index

  4. MB
    Manuel Beschi

    University of Brescia, Italy

    4 publications · 103 citations

    4

    h-index

  5. SY
    Shimon Y. Nof

    Purdue University West Lafayette, United States

    3 publications · 61 citations

    3

    h-index

1–5 of 391

Venues

  1. Autonomous Robots

    4 publications · 210 citations

    4

    h-index

  2. Robotics and Computer-Integrated Manufacturing

    3 publications · 756 citations

    3

    h-index

  3. 3

    h-index

  4. Journal of Manufacturing Systems

    3 publications · 316 citations

    3

    h-index

  5. IFAC-PapersOnLine

    2 publications · 41 citations

    2

    h-index

1–5