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Navigation of Auton...
Navigation of Autonomous Swarm of Drones Using Translational Coordinates
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Yasin, J N (author)
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Mohamed, S A S (author)
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Haghbayan, M. -H (author)
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Heikkonen, J (author)
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- Tenhunen, Hannu (author)
- KTH,Integrerade komponenter och kretsar
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Plosila, J (author)
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(creator_code:org_t)
- 2020-06-15
- 2020
- English.
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer. ; , s. 353-362
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- This work focuses on an autonomous swarm of drones, a multi-agent system, where the leader agent has the capability of intelligent decision making while the other agents in the swarm follow the leader blindly. The proposed algorithm helps with cost cutting especially in the multi-drone systems, i.e., swarms, by reducing the power consumption and processing requirements of each individual agent. It is shown that by applying a pre-specified formation design with feedback cross-referencing between the agents, the swarm as a whole can not only maintain the desired formation and navigate but also avoid collisions with obstacles and other drones. Furthermore, the power consumed by the nodes in the considered test scenario, is reduced by 50% by utilising the proposed methodology.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Agent-based modeling
- Autonomous agents
- Autonomous swarm
- Autonomous swarms
- Cost cuttings
- Cost reduction
- Cutting
- Decision making
- Drones
- Follow the leaders
- Formation design
- Individual agent
- Intelligent agents
- Intelligent decision making
- Leader follower
- Multi agent systems
- Multi-agent systems
- Power consumed
- Swarm intelligence
- Test scenario
Publication and Content Type
- vet (subject category)
- kon (subject category)
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