Oyekan, John and Hu, Huosheng (2011) Towards distributed coverage of complex spatiotemporal profiles. In: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2011-12-07 - 2011-12-11.
Oyekan, John and Hu, Huosheng (2011) Towards distributed coverage of complex spatiotemporal profiles. In: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2011-12-07 - 2011-12-11.
Oyekan, John and Hu, Huosheng (2011) Towards distributed coverage of complex spatiotemporal profiles. In: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2011-12-07 - 2011-12-11.
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 Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 17 Dec 2014 11:52 |
| Last Modified: | 24 Oct 2024 20:44 |
| URI: | http://repository.essex.ac.uk/id/eprint/9178 |