Parallelized Control-Aware Motion Planning With Learned Controller Proxies-Reference-Cited by-同舟云学术

Parallelized Control-Aware Motion Planning With Learned Controller Proxies

Published:2023-04 Issue:4 Volume:8 Page:2237-2244
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Chow Scott¹^ORCID,Chang Dongsik²^ORCID,Hollinger Geoffrey A.¹^ORCID

Affiliation:

1. Collaborative Robotics and Intelligent Systems Institute (CoRIS), Oregon State University, Corvallis, OR, USA

2. Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA

Funder

ONR

ONR/NAVSEA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10049284/10052750.pdf?arnumber=10052750

Reference28 articles.

1. Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics

2. LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics

3. Sampling-based algorithms for optimal motion planning using closed-loop prediction

4. Control-Aware Motion Planning for Task-Constrained Aerial Manipulation

5. Kinodynamic motion planning by interior-exterior cell exploration;?ucan;Algorithmic Foundation of Robotics VIII,2009

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