Obstacle avoidance for swarm robot based on self-organizing migrating algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244219" target="_blank" >RIV/61989100:27240/19:10244219 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/19:10244219
Result on the web
<a href="https://www.researchgate.net/profile/Diep_Quoc_Bao/publication/332305742_Obstacle_Avoidance_for_Swarm_Robot_Based_on_Self-Organizing_Migrating_Algorithm/links/5cb474664585156cd7998356/Obstacle-Avoidance-for-Swarm-Robot-Based-on-Self-Organizing-Migrating-Algorithm.pdf" target="_blank" >https://www.researchgate.net/profile/Diep_Quoc_Bao/publication/332305742_Obstacle_Avoidance_for_Swarm_Robot_Based_on_Self-Organizing_Migrating_Algorithm/links/5cb474664585156cd7998356/Obstacle-Avoidance-for-Swarm-Robot-Based-on-Self-Organizing-Migrating-Algorithm.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2019.02.073" target="_blank" >10.1016/j.procs.2019.02.073</a>

Result language
angličtina
Original language name
Obstacle avoidance for swarm robot based on self-organizing migrating algorithm
Original language description
This paper presents an obstacle avoidance algorithm for swarm robot in unknown environment based on self-organizing migrating algorithm in which the trajectory is divided into a set of points created by the SOMA that robot must pass through. During the move, obstacles will be detected by sensors on the robot, it only knows the target position without knowing the obstacles location until detecting them. The fitness function is based on the principle of attraction from the target and the repulsion of the obstacles, which helps robot find the trajectory for moving, and the ways leaving it to move safety away from the trapped area. Simulation results are also presented to show the feasibility of the algorithm. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 13th International Symposium "Intelligent Systems" (INTELS'18).
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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