Collective tracking and herding using a swarm of kilobots

Oh, H, Shirazi, AR and Jin, Y (2014) Collective tracking and herding using a swarm of kilobots

Full text not available from this repository.

Abstract

This paper investigates self-organised collective formation tracking using swarm robots. In particular, we focus on collective tracking and herding using a large number of very simple robots. To this end, we choose kilobots as our swarm robot testbed due to its very low price and attractive operational scalability. Note, however, that kilobots have extremely limited locomotion, sensing and communication capabilities. To handle these limitations, a number of new control algorithms based on morphogen diffusion and network connectivity preservation have been suggested for collective object tracking and herding. Numerical simulations of large scale swarm systems as well as preliminary physical experiments with relatively a small number of kilobots have been performed to verify the feasibility of the proposed algorithms.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Oh, H Shirazi, AR Jin, Y yaochu.jin@surrey.ac.uk
Date :	1 January 2014
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:41
Last Modified :	23 Jan 2020 18:46
URI:	http://epubs.surrey.ac.uk/id/eprint/840092

Actions (login required)

View Item

Downloads