KDF: Kinodynamic Motion Planning via Geometric Sampling-Based Algorithms and Funnel Control

Author:

Verginis Christos K.1ORCID,Dimarogonas Dimos V.2ORCID,Kavraki Lydia E.3ORCID

Affiliation:

1. Division of Signals and Systems, Department of Electrical Engineering, Uppsala University, Uppsala, Sweden

2. School of Electrical and Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

3. Department of Computer Science, Rice University, Houston, TX, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles;IEEE Transactions on Control Systems Technology;2024

2. Safe Set-Based Trajectory Planning for Robotic Manipulators;IEEE Transactions on Robotics;2024

3. PiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels;The International Journal of Robotics Research;2023-11-29

4. Sampling-Based Motion Planning: A Comparative Review;Annual Review of Control, Robotics, and Autonomous Systems;2023-11-21

5. Non-Parametric Neuro-Adaptive Control;2023 European Control Conference (ECC);2023-06-13

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