Increasing Diversity of Solutions in Sampling-based Path Planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00327561" target="_blank" >RIV/68407700:21230/18:00327561 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3297097.3297114" target="_blank" >http://dx.doi.org/10.1145/3297097.3297114</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3297097.3297114" target="_blank" >10.1145/3297097.3297114</a>
Alternative languages
Result language
angličtina
Original language name
Increasing Diversity of Solutions in Sampling-based Path Planning
Original language description
Sampling-based path planning algorithms like Rapidly-exploring Random Trees (RRT) are widely used to solve path planning problems for robots with many Degrees Of Freedom (DOF). Although the sampling-based planners are stochastic and provide different solutions in every trial, many resulting trajectories can be quite similar, e.g., because they are close to each other. Computation of di verse paths, i.e., paths leading through different parts of the configuration space, is important for online navigation of mobile robots or for finding solutions leading through different narrow passages of the configuration space. In this paper, we propose an extension of the RRT algorithm to find diverse paths in the configuration space iteratively. The idea of the proposed method is to prohibit the exploration of selected regions of the configuration space. The prohibited regions are defined using the waypoints of paths computed in the previous iterations. We show that the proposed method finds more diverse trajectories than can be achieved by repeated computations of a single sampling-based planner.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-07690S" target="_blank" >GA17-07690S: Methods of Identification and Visualization of Tunnels for Flexible Ligands in Dynamic Proteins</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2018 International Conference on Robotics and Artificial Intelligence
ISBN
978-1-4503-6584-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
97-102
Publisher name
ACM
Place of publication
New York
Event location
Guangzhou
Event date
Nov 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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