Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning
Author:
Affiliation:
1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA, Work performed at the University of Oxford
2. Estimation, Search, and Planning (ESP) research group, University of Oxford, Oxford, UK
Abstract
Funder
UK Research and Innovation and EPSRC
Publisher
SAGE Publications
Subject
Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software
Link
http://journals.sagepub.com/doi/pdf/10.1177/02783649211069572
Reference105 articles.
1. An Efficient Algorithm for Computing High-Quality Paths amid Polygonal Obstacles
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5. Dynamic programming guided exploration for sampling-based motion planning algorithms
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