Interaction-aware Planning

Interaction-Aware Planning is a behavioral planning framework that, as a distinct approach within autonomous decision-making systems, explicitly incorporates mutual interdependence and anticipated responses between agents to generate contextually adaptive actions in multi-agent environments.

36

Publications

1.8K

Citations

111

Authors

41

Institutions

Publications per year

2017–2026

20

Authors

111

  1. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    3 publications · 160 citations

    3

    h-index

  2. MG
    Mark G. Pfeiffer

    ETH Zurich, Switzerland

    2 publications · 140 citations

    2

    h-index

  3. EW
    Erik Ward

    KTH Royal Institute of Technology, Sweden

    2 publications · 75 citations

    2

    h-index

  4. SA
    Sanjit A. Seshia

    University of California, Berkeley, United States

    2 publications · 606 citations

    2

    h-index

  5. LK
    Lars Karlsson

    Örebro University, Sweden

    2 publications · 45 citations

    2

    h-index

1–5 of 111

Venues

  1. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 4 publications · 146 citations

    4

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Robotics

    2 publications · 175 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 60 citations

    2

    h-index

  5. Autonomous Robots

    1 publications · 181 citations

    1

    h-index

1–5