George Brayshaw

University of the West of England, University of Bristol

Papers

Total Citations

H-Index

About

George Brayshaw is a rising researcher at the forefront of neuromorphic tactile sensing, a field that seeks to imbue robots and prosthetics with a sense of touch as efficient and nuanced as human skin. His work centers on developing bio-inspired sensors and computational models that process tactile information using spike-based, event-driven methods, mirroring biological neural systems. Brayshaw’s most significant contribution is the development of the **neuroTac**, a novel neuromorphic visuo-tactile sensor that leverages the high temporal resolution of event-based cameras. In his highly cited 2024 paper, he demonstrated how pairing the neuroTac with Spiking Neural Networks (SNNs) enables simultaneous velocity and texture classification, achieving movement-invariant tactile perception—a critical advance for dexterous robotic manipulation and responsive prosthetic limbs. Complementing this, his comprehensive 2025 review on neuromorphic touch for robotics has rapidly gained traction, establishing him as a key voice in the field. With his work accumulating early citations and laying the groundwork for a new generation of energy-efficient, adaptive tactile systems, Brayshaw is a researcher to watch for anyone interested in the future of intelligent robotics and human-machine interaction.