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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/27316

Title: Effect of leader placement on robotic swarm control
Authors: Tiwari, Rohan
Jain, Puneet
Butail, Sachit
Baliyarasimhuni, Sujit P.
Goodrich, Michael A.
Keywords: Leader placement
Robotic swarms
Convergence
Emergent behavior
Issue Date: 2017
Publisher: © International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). Published by ACM
Citation: TIWARI, R. ...et al., 2017. Effect of leader placement on robotic swarm control. IN: Das, S. ... et al. (eds.) Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS17), Sao Paulo, May 8-12th, pp. 1387-1394.
Abstract: Human control of a robotic swarm entails selecting a few in-fluential leaders who can steer the collective efficiently and robustly. However, a clear measure of influence with respect to leader position is not adequately studied. Studies with animal systems have shown that leaders who exert strong couplings may be located in front, where they provide energy benefits, or in the middle, where they can be seen by a larger section of the group. In this paper, we systematically vary number of leaders and leader positions in simulated robotic swarms of two different sizes, and assess their effect on steering effectiveness and energy expenditure. In particular, we analyze the effect of placing leaders in the front, middle, and periphery, on the time to converge and lateral acceleration of a swarm of robotic agents as it performs a single turn to reach the desired goal direction. Our results show that swarms with leaders in the middle and periphery take less time to converge than swarms with leaders in the front, while the lateral acceleration between the three placement strategies is not different. We also find that the time to converge towards the goal direction reduces with the increase in percentage of leaders in the swarm, although this value decays slowly beyond the percentage of leaders at 30%. As the swarm size is increased, we find that the leaders in the periphery become less effective in reducing the time to converge. Finally, closer analysis of leader placement and coverage reveals that front leaders within the swarm tend to expand their coverage and move towards the center as the maneuver is performed. Results from this study are expected to inform leader placement strategies towards more effective human swarm interaction systems.
Description: © International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) | ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS17), https://dl.acm.org/citation.cfm?id=3091316&CFID=840116400&CFTOKEN=63016478
Sponsor: Portions of this work were partially funded by Infosys Center for Artificial Intelligence { IIIT-Delhi, National Science Foundation under grant CMMI-1433670, and the US Office of Naval Research under grant N00014-16-1-3025.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/27316
Publisher Link: https://dl.acm.org/citation.cfm?id=3091125&picked=prox&cfid=826703621&cftoken=46522067
http://www.ifaamas.org/Proceedings/aamas2017/
Appears in Collections:Conference Papers and Presentations (Aeronautical and Automotive Engineering)

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