Self-reconfiguration Planning

Self-Reconfiguration Planning is a computational method in modular robotics that determines the sequence of module movements required for a robot to autonomously transform from a given initial configuration to a desired target configuration while adhering to physical and operational constraints.

54

Publications

2.5K

Citations

112

Authors

47

Institutions

Publications per year

2017–2026

13

Authors

112

  1. DR
    Daniela Rus

    Massachusetts Institute of Technology, United States

    10 publications · 495 citations

    10

    h-index

  2. ZB
    Zack Butler

    Dartmouth College, United States

    5 publications · 251 citations

    5

    h-index

  3. JB
    Julien Bourgeois

    Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, France

    4 publications · 87 citations

    4

    h-index

  4. KT
    Kohji Tomita

    National Institute of Advanced Industrial Science and Technology, Japan

    4 publications · 262 citations

    4

    h-index

  5. KK
    Keith Kotay

    Dartmouth College, United States

    4 publications · 158 citations

    4

    h-index

1–5 of 112

Venues

  1. The International Journal of Robotics Research

    IJRR · 3 publications · 286 citations

    3

    h-index

  2. 3

    h-index

  3. Robotics and Autonomous Systems

    2 publications · 75 citations

    2

    h-index

  4. Robotica

    2 publications · 62 citations

    2

    h-index

  5. Journal of Parallel and Distributed Computing

    2 publications · 32 citations

    2

    h-index

1–5