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Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342314" target="_blank" >RIV/68407700:21230/20:00342314 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14330/20:00116340

  • Result on the web

    <a href="https://doi.org/10.1007/s10846-020-01247-4" target="_blank" >https://doi.org/10.1007/s10846-020-01247-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10846-020-01247-4" target="_blank" >10.1007/s10846-020-01247-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning

  • Original language description

    High-dimensional configuration space is usually searched using sampling-based motion planning methods. The well-known issue of sampling-based planners is the narrow passage problem caused by small regions of the configuration space that are difficult to cover by random samples. Practically, the presence of narrow passages decreases the probability of finding a solution, and to cope with it, the number of random samples has to be significantly increased, which also increases the planning time. By dilating the free space, e.g., by scaling-down or thinning the robot (or obstacles), narrow passages become wider, which allows us to compute an approximate solution. Then, the configuration space can be sampled densely around the approximate solution to find the solution of the original problem. However, this process may fail if the final solution is too far from the approximate one. In this paper, we propose a method to find multiple approximate solutions in the configuration space to increase the chance of finding the final solution. The approximate solutions are computed by repeated search of the configuration space while avoiding, if possible, the already discovered solutions. This enables us to search for distinct solutions leading through different parts of the configuration space. The number of approximate solutions is automatically determined based on their similarity. All approximate solutions are then used to guide the sampling of the configuration space. The performance of the proposed approach is verified in scenarios with multiple narrow passages and the benefits of the method are demonstrated by comparing the results with the state-of-the-art planners.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/GJ19-22555Y" target="_blank" >GJ19-22555Y: Sampling-based planning of actions and motions using approximate solutions</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

  • Name of the periodical

    Journal of Intelligent and Robotic Systems

  • ISSN

    0921-0296

  • e-ISSN

    1573-0409

  • Volume of the periodical

    100

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    1527-1543

  • UT code for WoS article

    000564529000001

  • EID of the result in the Scopus database

    2-s2.0-85090020216