Hybridizing Computational Intelligence and Computer Vision Techniques for Efficient Navigation and Marker Detection and Identification by a Swarm of Minirobotic Units-Reference-Cited by-同舟云学术

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Hybridizing Computational Intelligence and Computer Vision Techniques for Efficient Navigation and Marker Detection and Identification by a Swarm of Minirobotic Units

Published:2024-05-25 Issue: Volume:4 Page:116-123
ISSN:
Container-title:Proceedings of the Cognitive Models and Artificial Intelligence Conference
language:
Short-container-title:

Author:

Galvez Akemi¹^ORCID,Moustafa Nureddin²^ORCID,Chan Vei Siang³^ORCID,Iglesias Andres¹^ORCID

Affiliation:

1. Applied Mathematics and Computational Sciences, University of Cantabria, Spain and Faculty of Pharmaceutical Sciences, Toho University, Japan

2. Applied Mathematics and Computational Sciences, University of Cantabria, Spain

3. Faculty of Computing, Universiti Teknologi Malaysia, Malaysia

Funder

Agencia Estatal de Investigacion

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3660853.3660880

Reference52 articles.

1. Development of a Miniature Robot for Swarm Robotic Application

2. Development of an autonomous micro robot for swarm robotics

3. Colias-Φ : an autonomous micro robot for artificial pheromone communication;Arvin;International Journal of Mechanical Engineering and Robotics Research,2015

4. Generalizing the Hough transform to detect arbitrary shapes

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