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Towards distributed coverage of complex spatiotemporal profiles

Oyekan, J and Hu, H (2011) Towards distributed coverage of complex spatiotemporal profiles. In: UNSPECIFIED, ? - ?.

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Abstract

Inspired by self-organization in natural organisms, an approach that would enable robotic agents form a visual representation of an invisible distributed hazardous substance is presented. Such a resource would enable humans observe and stay away from areas of high hazardous substance concentration. In this work, a proportional-integral control law and a machine learning scheme is used to obtain optimal parameter values that would enable optimal visual mapping whilst keeping computational resources low. © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 17 Dec 2014 11:52
Last Modified: 23 Jan 2019 00:17
URI: http://repository.essex.ac.uk/id/eprint/9178

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