Model Predictive Trajectory Generation

Model Predictive Trajectory Generation is a trajectory generation method that iteratively computes optimal reference paths by minimizing a cost function over a finite prediction horizon using a dynamic system model, while recursively updating the solution based on feedback to ensure feasibility and adaptivity.

102

Publications

5K

Citations

323

Authors

137

Institutions

Publications per year

2017–2026

52

Authors

323

  1. ZS
    Zhenping Sun

    National University of Defense Technology, China

    4 publications · 319 citations

    4

    h-index

  2. TM
    Thomas M. Howard

    Carnegie Mellon University, United States

    4 publications · 270 citations

    4

    h-index

  3. KS
    Klaus Schneider

    University of Kaiserslautern, Germany

    3 publications · 71 citations

    3

    h-index

  4. PF
    Philipp Foehn

    University of Zurich, Switzerland

    3 publications · 197 citations

    3

    h-index

  5. QZ
    Qi Zhu

    Nanjing University of Posts and Telecommunications, China

    3 publications · 110 citations

    3

    h-index

1–5 of 323

Venues

  1. IEEE Transactions on Industrial Electronics

    3 publications · 107 citations

    3

    h-index

  2. IEEE Control Systems Letters

    3 publications · 63 citations

    3

    h-index

  3. Robotics and Autonomous Systems

    2 publications · 95 citations

    2

    h-index

  4. IFAC-PapersOnLine

    2 publications · 53 citations

    2

    h-index

  5. IEEE Robotics and Automation Letters

    3 publications · 240 citations

    2

    h-index

1–5