SUPPORT FOR ROBOT DOCKING AND ENERGY FORAGING - A Computer Vision Approach

M. Shuja Ahmed, Reza Saatchi, Fabio Caparrelli

Abstract

Swarm robotics deals with the multi-robot coordination for achieving the common objective. The latest research in this field focuses on more complicated domain of problem where swarms of robots may require to physically dock together to achieve the goal. The physical docking may be required to move over a big obstacle or also to perform precise physical connection with certain objective e.g. battery charging. In this research, the information from vision sensor is considered to provide support for performing precise physical docking. The robotic system considered in this study requires the robots to autonomously recharge their batteries for guaranteeing long term operations and also to perform complicated physical docking for which precision is necessary. A very simple but effective solution based on LEDs, used in a specified pattern on docking station, is adopted. The approach presented in this research is found computationally less expensive so is suited to be used with swarm robotic system which uses small robots with limited memory and processing resources.

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Paper Citation


in Harvard Style

Shuja Ahmed M., Saatchi R. and Caparrelli F. (2012). SUPPORT FOR ROBOT DOCKING AND ENERGY FORAGING - A Computer Vision Approach . In Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-8565-00-6, pages 123-128. DOI: 10.5220/0003820801230128


in Bibtex Style

@conference{peccs12,
author={M. Shuja Ahmed and Reza Saatchi and Fabio Caparrelli},
title={SUPPORT FOR ROBOT DOCKING AND ENERGY FORAGING - A Computer Vision Approach},
booktitle={Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2012},
pages={123-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003820801230128},
isbn={978-989-8565-00-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - SUPPORT FOR ROBOT DOCKING AND ENERGY FORAGING - A Computer Vision Approach
SN - 978-989-8565-00-6
AU - Shuja Ahmed M.
AU - Saatchi R.
AU - Caparrelli F.
PY - 2012
SP - 123
EP - 128
DO - 10.5220/0003820801230128