About

Simon Harding is a pioneering researcher working at the intersection of evolutionary computation, unconventional computing, and cognitive robotics. He is perhaps best known for his groundbreaking work in "Evolution In Materio," a radical approach that harnesses the intrinsic physical properties of unconventional materials — most notably liquid crystals — to evolve computational devices such as logic gates and real-time robot controllers. This work, which has accumulated over 75 citations across multiple publications, challenged the established practice of confining evolutionary algorithms to human-engineered electronic components, opening new frontiers in material-based computation. Harding also made significant contributions to Cartesian Genetic Programming, applying it to robot controller evolution. His later research shifted toward humanoid robotics and machine learning, where he developed sophisticated frameworks — including MoBeE and icVision — enabling robots like the iCub to autonomously learn object localization, hand detection, and spatial perception through vision. His work on inter-robot knowledge transfer, where one robotic arm teaches a humanoid to perceive shared workspace objects, is particularly notable for its elegance and practicality. With research spanning unconventional substrates to embodied cognition, Harding's career reflects a deep commitment to pushing the boundaries of how machines learn, adapt, and compute.

Research Focus

Key Achievements

10
H-Index
15
Papers
231
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Evolution In Materio: Evolving Logic Gates in Liquid Crystal.
41 citations · 2007
📈 Most Prolific Year: 2012 (7 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of York, Universities UK, Dalle Molle Institute for Artificial Intelligence Research, University of Applied Sciences and Arts of Southern Switzerland, Intel (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago