GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
Author:
Affiliation:
1. Paul G. Allen School of Computer Science and Engineering, University of Washington
2. Aurora Innovation Inc.
3. Cornell University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161028.pdf?arnumber=10161028
Reference43 articles.
1. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
2. Guided Expansive Spaces Trees: a search strategy for motion- and cost-constrained state spaces
3. Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
4. Deformable Rapidly-Exploring Random Trees
5. RRT-connect: An efficient approach to single-query path planning
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