Workspace Under Uncertainty

Workspace Under Uncertainty is a workspace analysis framework that characterizes the operational envelope of a robotic or mechanical system under uncertain environmental, kinematic, or dynamic conditions, distinguishing itself from deterministic workspace models by explicitly incorporating probabilistic or bounded variations in system parameters and external factors.

13

Publications

542

Citations

38

Authors

19

Institutions

Publications per year

2017–2026

7

Authors

38

  1. YH
    Yun Huang

    Chongqing University, China

    1 publications · 68 citations

    1

    h-index

  2. AG
    Arturo Gil

    Universitat de Miguel Hernández d'Elx, Spain

    1 publications · 78 citations

    1

    h-index

  3. SL
    Stéphanie Lluis

    University of Waterloo, Canada

    1 publications · 29 citations

    1

    h-index

  4. AH
    Amin Hammad

    Concordia University, Canada

    1 publications · 47 citations

    1

    h-index

  5. GL
    Guangjun Liu

    Toronto Metropolitan University, Canada

    1 publications · 29 citations

    1

    h-index

1–5 of 38

Venues

  1. Automation in Construction

    2 publications · 78 citations

    2

    h-index

  2. Robotics and Autonomous Systems

    1 publications · 68 citations

    1

    h-index

  3. Acta Astronautica

    1 publications · 75 citations

    1

    h-index

  4. IEEE Robotics and Automation Letters

    1 publications · 36 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 34 citations

    1

    h-index

1–5