Model Predictive Planning

Model Predictive Planning is a navigation planning method that iteratively computes optimal control sequences over a finite predictive horizon using a dynamic system model, while applying only the first control action and re-planning at each time step to incorporate updated state information.

78

Publications

3.4K

Citations

244

Authors

93

Institutions

Publications per year

2017–2026

51

Authors

244

  1. KS
    Klaus Schneider

    University of Kaiserslautern, Germany

    3 publications · 59 citations

    3

    h-index

  2. EA
    Eckhard Arnold

    University of Stuttgart, Germany

    2 publications · 47 citations

    2

    h-index

  3. SH
    Shoudong Huang

    University of Technology Sydney, Australia

    2 publications · 158 citations

    2

    h-index

  4. KG
    Karl-Heinz Glander

    TU Dortmund University, Germany

    2 publications · 36 citations

    2

    h-index

  5. HP
    Haijun Peng

    Dalian University of Technology, China

    2 publications · 100 citations

    2

    h-index

1–5 of 244

Venues

  1. IEEE Robotics and Automation Letters

    4 publications · 189 citations

    5

    h-index

  2. 5

    h-index

  3. IFAC-PapersOnLine

    3 publications · 46 citations

    4

    h-index

  4. Robotics and Autonomous Systems

    3 publications · 159 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 50 citations

    3

    h-index

1–5