Phil Husbands

My research interests are mainly in 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 virtual diffusable neuro-modulators; evolutionary robotics; 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. For more details follows the links to publications and research.

I am co-director of The Sussex Centre for Computational Neuroscience and Robotics (CCNR) , an interdisciplinary centre set up in collaboration with The School of Life Sciences.


I am a member of the Evolutionary and Adaptive Systems group in The Department of Informatics.

I am subdirector of graduate studies in Informatics. Click here for more information on admission to postgraduate study.