Phil Husbands

Dept Informatics/CCNR
University of Sussex


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.

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




Phil Husbands, University of Sussex.