Emerging Technologies / IEEE Press / Future / EU Information Society Technologies / Multiagent Systems / ACM Press / Intelligent Autonomous Systems / Multi Robot Systems / / /
Facility
Underwater Robots Tim TAYLOR Institute of Perception / University of Edinburgh / /
IndustryTerm
genetic regulatory networks / power-law distribution / control algorithms / similar power-law distributions / genetic regulatory network-driven control systems / genetic algorithm / diffusion site / biological genetic regulatory networks / regulatory network / interface site / self-reconfigurable robot systems / genetic regulatory network / decentralised real-time controller / hardware actuation systems / scale-free networks / monolithic systems / metabolic networks / simulation software / particular diffusion site / metbolic networks / /
MarketIndex
set 10 / /
Organization
Underwater Robots Tim TAYLOR Institute of Perception / Action & Behaviour / Congress / University of Edinburgh / European Union / School of Informatics / /
Person
Gene Structure / Maja J. Matari / Chrystopher L. Nehaniv / E. Peter Greenberg / Makoto Yokoo / Jeffrey S. Rosenschein / Alan Winfield / T.H. Labella / V / Chris Melhuish / Kerstin Dautenhahn / Tuomas Sandholm / Peter Ottery / John Maynard Smith / Graham Roberts / Jakob Fredslund / Jens Wawerla / Julien Nembrini / Peter Eggenberger Hotz / Tom Quick / Gaurav S. Sukhatme / John Hallam / Michael Wooldridge / /
Position
hybrid controller / Genetic Regulatory Network-Inspired Real-Time Controller for a Group / general controller / local controller / controller for a group / decentralised real-time controller for a group / current GRN controller / particular controller / GRN controller / controller / evolved controller / /
ProvinceOrState
Georgia / /
Technology
control algorithms / artificial intelligence / gene expression / metabolic networks / genetic algorithm / simulation / conducted using a detailed simulation / /
A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots