Real-time Trajectory Optimization

Real-Time Trajectory Optimization is a trajectory optimization method that generates or updates optimal state and control trajectories within strict computational time constraints, ensuring immediate applicability in dynamic environments and closed-loop control systems.

160

Publications

9.6K

Citations

521

Authors

199

Institutions

Publications per year

2017–2026

86

Authors

521

  1. BA
    Behçet Açıkmeşe

    University of Washington, United States

    6 publications · 298 citations

    6

    h-index

  2. ZW
    Zhenbo Wang

    University of Tennessee at Knoxville, United States

    6 publications · 352 citations

    6

    h-index

  3. AM
    Andrea Maria Zanchettin

    Politecnico di Milano, Italy

    3 publications · 101 citations

    3

    h-index

  4. RC
    Richard Cobb

    U.S. Air Force Institute of Technology, United States

    3 publications · 306 citations

    3

    h-index

  5. DD
    Daniel Dueri

    The University of Texas at Austin, United States

    3 publications · 232 citations

    3

    h-index

1–5 of 521

Venues

  1. Journal of Guidance Control and Dynamics

    9 publications · 753 citations

    9

    h-index

  2. 5

    h-index

  3. IEEE Robotics and Automation Letters

    4 publications · 107 citations

    4

    h-index

  4. Aerospace Science and Technology

    AST · 4 publications · 146 citations

    4

    h-index

  5. Journal of Intelligent & Robotic Systems

    4 publications · 81 citations

    4

    h-index

1–5