Extending the Target-Search Algorithm for Kilobots by Adding Random Walk Behavior-Reference-Cited by-同舟云学术

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Extending the Target-Search Algorithm for Kilobots by Adding Random Walk Behavior

Published:2023-02-10 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Automation, Robotics and Applications (ICARA)
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Author:

Troxler Michael¹,Dornberger Rolf²,Hanne Thomas³

Affiliation:

1. School of Business, University of Applied Sciences and Arts, Northwestern Switzerland,Basel,Switzerland

2. Institute for Information Systems, University of Applied Sciences and Arts, Northwestern Switzerland,Basel,Switzerland

3. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland,Olten,Switzerland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125567/10125280/10125694.pdf?arnumber=10125694

Reference11 articles.

1. Efficient spatial coverage by a robot swarm based on an ant foraging model and the Lévy distribution

2. Comparison of the Behavior of Swarm Robots with their Computer Simulations Applying Target-Searching Algorithms

3. Collective-adaptive Lévy flight for underwater multi-robot exploration

4. Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation

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