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Title:

An Information-Driven Algorithm in Flocking Systems for an Improved Obstacle Avoidance

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Olcay, E.; Lohmann, B.; Akella, M. R.
Pages contribution:
pp. 298-304
Abstract:
The research field of swarm robotics continues to draw inspiration from the behavior of animals in nature. Obstacle avoidance and the navigation in unknown areas are major problems in control of swarming agents. In recent years, a large number of algorithms have been developed for this purpose. These algorithms are mainly based on artificial potential functions and many of the existing strategies do not enable agents to escape from non-convex obstacles. Due to the issue of local minimum, agents...     »
Keywords:
multi-agent systems; flocking control; cooperative control; Obstacle avoidance
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Editor:
IEEE
Book / Congress title:
45th Annual Conference of the IEEE Industrial Electronics Society (IECON)
Date of congress:
14.-17.10.
Publisher:
IEEE
Publisher address:
New York, USA
Year:
2019
Quarter:
4. Quartal
Year / month:
2019-10
Month:
Oct
Covered by:
Scopus; Web of Science
Print-ISBN:
978-1-7281-4879-3
E-ISBN:
978-1-7281-4878-6
Bookseries ISSN:
1553-572X
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1109/IECON.2019.8927758
WWW:
https://ieeexplore.ieee.org/document/8927758/metrics#metrics
TUM Institution:
Lehrstuhl für Regelungstechnik
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