Narrow passage problem solution for motion planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43960101" target="_blank" >RIV/49777513:23520/20:43960101 - isvavai.cz</a>
Result on the web
<a href="http://hdl.handle.net/11025/47179" target="_blank" >http://hdl.handle.net/11025/47179</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-50371-0_34" target="_blank" >10.1007/978-3-030-50371-0_34</a>
Alternative languages
Result language
angličtina
Original language name
Narrow passage problem solution for motion planning
Original language description
The paper introduces a new randomized sampling-based method of motion planning suitable for the problem of narrow passages. The proposed method was inspired by the method of exit points for cavities in protein models and is based on the Rapidly Exploring Random Tree (RRT). Unlike other methods, it can also provide locations of the exact positions of narrow passages. This information is extremely important as it helps to solve this part of space in more detail and even to decide whether a path through this bottleneck exists or not. For data with narrow passages, the proposed method finds more paths in a shorter time, for data without narrow passages, the proposed method is slower but still provides correct paths.
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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science 20th International Conference on Computational Science, ICCS 2020
ISBN
978-3-030-50370-3
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
459-470
Publisher name
Springer
Place of publication
Cham
Event location
Amsterdam
Event date
Jun 3, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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