Mark Baxendale

Queen Mary University of London, Liverpool Hope University, University of the West of England

Papers

Total Citations

228

H-Index

About

Mark Baxendale is a pioneering researcher at the intersection of flexible electronics and bio-inspired robotics. His most impactful work centers on developing stretchable, self-powered sensors, notably through the thermoelectric response of PEDOT:PSS/polyurethane blends—a 2017 paper that has garnered over 220 citations. This breakthrough addresses a critical challenge in powering wearable devices for health monitoring, soft robotics, and the Internet of Things, enabling sensors that harvest energy from body heat without rigid batteries. Baxendale has also made significant contributions to robotic audio localization, inspired by cerebellar models of the brain. His MOSAIC-based systems allow robots to adaptively calibrate sound source localization in changing acoustic environments, with publications in 2017–2019. By combining materials science with neural computation, Baxendale’s work bridges the gap between flexible energy harvesting and intelligent sensing, offering practical solutions for autonomous systems. His research is notable for its interdisciplinary approach, merging polymer physics, thermoelectrics, and computational neuroscience to create robust, self-sufficient technologies.