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About

Edward Bray is a pioneering researcher at the intersection of tactile robotics and self-assembling multi-robot systems. His work fundamentally explores how robots can physically interact with and adapt to their environments—from sensing hidden structures through touch to collaboratively reshaping their own morphology. Bray’s most impactful contribution, "Structuring of tactile sensory information for category formation in robotics palpation" (24 citations), introduces a framework for robotic palpation that uses capacitive tactile sensors and PCA to detect and classify hard inclusions in soft materials, laying groundwork for medical diagnostics and quality control. In parallel, his highly cited review "Recent Developments in Self-Assembling Multi-Robot Systems" (12 citations) synthesizes advances in terrestrial, aquatic, and aerospace self-assembly. Bray’s notable achievements include developing distributed algorithms for force-aware self-assembly of cantilevers and bridges—inspired by ant bridge-building—enabling small robots to overcome large obstacles. His more recent work on PRM-guided self-organising maps for multi-goal path planning in cluttered environments extends his impact to logistics and surveillance. With a growing citation record and a portfolio bridging tactile sensing and collective robotics, Bray is establishing himself as a key voice in adaptive, physically intelligent robotic systems.