Robust Trajectory Optimization

Robust Trajectory Optimization is a trajectory optimization framework that belongs to the class of motion planning methods distinguished by its explicit incorporation of uncertainties and disturbances to ensure feasibility and performance guarantees under varying operational conditions.

94

Publications

4.3K

Citations

285

Authors

128

Institutions

Publications per year

2017–2026

57

Authors

285

  1. YK
    Yoshiaki Kuwata

    Massachusetts Institute of Technology, United States

    5 publications · 526 citations

    5

    h-index

  2. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    5 publications · 526 citations

    5

    h-index

  3. DW
    Derrick Wing Kwan Ng

    UNSW Sydney, Australia

    5 publications · 671 citations

    5

    h-index

  4. AR
    Arthur Richards

    University of Bristol, United Kingdom

    3 publications · 317 citations

    3

    h-index

  5. TS
    Tom Schouwenaars

    Massachusetts Institute of Technology, United States

    3 publications · 317 citations

    3

    h-index

1–5 of 285

Venues

  1. Journal of Guidance Control and Dynamics

    7 publications · 473 citations

    7

    h-index

  2. IEEE Transactions on Vehicular Technology

    3 publications · 475 citations

    3

    h-index

  3. IEEE Robotics and Automation Letters

    3 publications · 114 citations

    3

    h-index

  4. Autonomous Robots

    3 publications · 126 citations

    3

    h-index

  5. IEEE Transactions on Communications

    2 publications · 316 citations

    2

    h-index

1–5