Concepedia

Learning-based Motion Planning

Learning-Based Motion Planning is a motion planning approach that employs machine learning techniques to acquire policies or models from data, distinguishing it from traditional analytical or optimization-based methods by leveraging experience or demonstrations to improve planning efficiency, adaptability, or generalization in complex or uncertain environments.

235

Publications

11.4K

Citations

802

Authors

273

Institutions

Publications per year

2017–2026

164

Parents

Publications

235

Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation

Giuseppe Paolo, Ming Liu · 2017 · 803 citations

, , +17

Champion-level drone racing using deep reinforcement learning

Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio et al. · Nature · 2023 · 575 citations · Full text

, , +11

From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

Mark G. Pfeiffer, Michael Schaeuble, Juan Nieto et al. · 2017 · 427 citations · Full text

, , +17

End-To-End Interpretable Neural Motion Planner

Wenyuan Zeng, Wenjie Luo, Abbas Sadat et al. · 2019 · 389 citations

, , +14

Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment

Runqi Chai, Hanlin Niu, Joaquín Carrasco et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 279 citations · Full text

, , +17

1–5 of 235

Authors

802

  1. LP
    Leslie Pack Kaelbling

    Massachusetts Institute of Technology, United States

    6 publications · 262 citations

    6

    h-index

  2. BK
    Beomjoon Kim

    Massachusetts Institute of Technology, United States

    5 publications · 154 citations

    5

    h-index

  3. TL
    Tomás Lozano‐Pérez

    Massachusetts Institute of Technology, United States

    5 publications · 196 citations

    5

    h-index

  4. BB
    Byron Boots

    Georgia Institute of Technology, United States

    4 publications · 232 citations

    4

    h-index

  5. XH
    Xuemin Hu

    Nanjing University of Science and Technology, China

    4 publications · 293 citations

    4

    h-index

1–5 of 802

Institutions

273

  1. Stanford University

    Stanford, United States

    9 h-index

    35 publications

    1.5K citations

  2. Massachusetts Institute of Technology

    Cambridge, United States

    8 h-index

    24 publications

    905 citations

  3. Beijing Institute of Technology

    Beijing, China

    7 h-index

    20 publications

    1.8K citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    7 h-index

    15 publications

    708 citations

  5. ETH Zurich

    Zurich, Switzerland

    6 h-index

    11 publications

    3.1K citations

  6. The University of Tokyo

    Tokyo, Japan

    6 h-index

    11 publications

    189 citations

  7. City University of Hong Kong

    Hong Kong, Hong Kong

    5 h-index

    13 publications

    1.1K citations

  8. University of California, Berkeley

    Berkeley, United States

    5 h-index

    18 publications

    931 citations

1–8 of 273

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 382 citations

    11

    h-index

  2. IEEE Robotics and Automation Letters

    8 publications · 278 citations

    8

    h-index

  3. The International Journal of Robotics Research

    IJRR · 7 publications · 445 citations

    7

    h-index

  4. Sensors

    6 publications · 213 citations

    6

    h-index

  5. IEEE Access

    5 publications · 248 citations

    5

    h-index

1–5