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Communication-free and index-free distributed formation control algorithm for multi-robot systems

Peña Queralta, J. (författare)
Mccord, C. (författare)
Gia, T. N. (författare)
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Tenhunen, Hannu (författare)
KTH,Integrerade komponenter och kretsar
Westerlund, T. (författare)
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 (creator_code:org_t)
Elsevier B.V. 2019
2019
Engelska.
Ingår i: Procedia Computer Science. - : Elsevier B.V.. - 1877-0509. ; , s. 431-438
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • Pattern formation algorithms for swarms of robots can find applications in many fields from surveillance and monitoring to rescue missions in post-disaster scenarios. Complex formation configurations can be of interest to be the central element in an exhibition or maximize surface coverage for surveillance of a specific area. Existing algorithms that enable complex configurations usually require a centralized control, a communication protocol among the swarm in order to achieve consensus, or predefined instructions for individual agents. Nonetheless, trivial shapes such as flocks can be accomplished with low sensing and interaction requirements. We propose a pattern formation algorithm that enables a variety of shape configurations with a distributed, communication-free and index-free implementation with collision avoidance. Our algorithm is based on a formation definition that does not require indexing of the agents. We show the potential of the algorithm by simulating the formation of non-trivial shapes such as a wedge and a T-shaped configuration. We compare the performance of the algorithm for single and double integrator models for the dynamics of the agents. Finally, we run a preliminary test of our algorithm by implementing it with a group of small cars equipped with a Lidar for sensing and orientation calculation.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)

Nyckelord

Communication-Free
Coordination
Formation Control
Index-Free Control
Multi-Agent Systems
Multi-Robot Systems
Pattern Configuration
Swarm Robotics
Complex networks
Industrial robots
Industry 4.0
Multipurpose robots
Robot learning
Software agents
Swarm intelligence
Free control
Multi agent systems

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