Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Decentralized reactive navigation for densest sweep coverage of corridor environments by swarms of non-holonomic robots. / Матвеев, Алексей Серафимович; Коновалов, Петр Алексеевич.
29th Mediterranean Conference on Control and Automation, MED 2021. 2021. p. 1108–1113 9480298.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Decentralized reactive navigation for densest sweep coverage of corridor environments by swarms of non-holonomic robots
AU - Матвеев, Алексей Серафимович
AU - Коновалов, Петр Алексеевич
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/6/22
Y1 - 2021/6/22
N2 - A swarm of non-holonomic Dubins-car like robots has to autonomously organize itself into a densest net over a cross-section of a corridor environment. Then the swarm has to keep this formation, while moving along the corridor with a pre-specified speed. Any robot measures its own speed and, in its local frame, has access to the relative locations of the objects within a finite sensing range. The robots do not differentiate the peers, are unaware of the swarm's size and corridor's width, do not carry communication facilities and cannot play distinct roles in the team. A computationally inexpensive, decentralized and distributed control strategy is presented that solves the mission. The performance of the proposed algorithm is justified via a mathematically rigorous global convergence result for the corridors with straight parallel walls and is demonstrated via computer simulation tests for a variety of more intricate cases.
AB - A swarm of non-holonomic Dubins-car like robots has to autonomously organize itself into a densest net over a cross-section of a corridor environment. Then the swarm has to keep this formation, while moving along the corridor with a pre-specified speed. Any robot measures its own speed and, in its local frame, has access to the relative locations of the objects within a finite sensing range. The robots do not differentiate the peers, are unaware of the swarm's size and corridor's width, do not carry communication facilities and cannot play distinct roles in the team. A computationally inexpensive, decentralized and distributed control strategy is presented that solves the mission. The performance of the proposed algorithm is justified via a mathematically rigorous global convergence result for the corridors with straight parallel walls and is demonstrated via computer simulation tests for a variety of more intricate cases.
UR - http://www.scopus.com/inward/record.url?scp=85113669785&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/2cfb9711-be48-3340-aa3a-c7a4d59862fb/
U2 - 10.1109/med51440.2021.9480298
DO - 10.1109/med51440.2021.9480298
M3 - Conference contribution
SP - 1108
EP - 1113
BT - 29th Mediterranean Conference on Control and Automation, MED 2021
T2 - 29th Mediterranean Conference on Control and Automation
Y2 - 22 June 2021 through 25 June 2021
ER -
ID: 87316788