Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/91641
Title: Swarm robotics for object transportation
Authors: Farrugia, Jean Luc
Fabri, Simon G.
Keywords: Swarm intelligence
Artificial intelligence
Robotics -- Design and construction -- Congresses
Issue Date: 2018
Publisher: IEEE
Citation: Farrugia, J. L., & Fabri, S. G. (2018, September). Swarm robotics for object transportation. In 2018 UKACC 12th International Conference on Control (CONTROL) (pp. 353-358). IEEE.
Abstract: In this paper a system is proposed whereby a group of small and inexpensive LEGO robots cooperate autonomously to transport a relatively much larger object to a specific location. In achieving this objective, the robots were able to generate a formation, recognise and locate neighbouring robot positions, control their motion and coordinate as a team in order to move the object to a set target location. Cooperative transportation algorithms were implemented, tested and evaluated on a physical setup, including pushing, caging and grasping. Results demonstrate that any desired formation shape can be generated and maintained without distance or orientation constraints. Caging and grasping algorithms yielded an accurate delivery performance, exhibiting reliability across different scenarios.
URI: https://www.um.edu.mt/library/oar/handle/123456789/91641
Appears in Collections:Scholarly Works - FacEngSCE

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