research                 

Phil Husbands

Dept Informatics/CCNR
University of Sussex



Research

My research interests are mainly focused on adaptive systems, both artificial and biological. They include the following: the development of artificial nervous systems for robots, with emphasis on visually guided robots acting in the real world -- in particular, the development of biologically inspired behaviour generating networks incorporating mechanisms allowing reconfiguration and multi-functionality (including virtual diffusable neuro-modulators, complex oscillatory dynamics, chaotic dynamics); evolutionary robotics; evolvable systems; insect-inspired navigation; artificial life; evolutionary and other stochastic search algorithms; computational neuroscience; adaptive systems in the visual arts and in music; history and philosophy of AI; machine learning. Much of my work is highly interdisciplinary.

Over the years I have had numerous research grants covering these areas, both from national and international funding bodies, including EPSRC, BBSRC, AHRC, BNSC, EU, HFSP, and direct from industry and charitable organisations. I have collaborated with many industrial partners including BT, Intel, BAe, Rolls Royce, The Post Office, Logica, Matra Marconi Space, HP, Nortel, Astrium, MASA, Ricardo, Algorithmix, Infonic.

I am on many journal editorial boards and conference programme committees, and have chaired a number of international conferences in my areas.

I have supervised, or co-supervised, more than 40 PhD students to completion and award of their doctorates.


Click here for more information on admission to postgraduate study.

 

Some videos of evolutionary robotics research conducted in our group at  Sussex can be found here


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Phil Husbands, University of Sussex.