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About

Matthew Studley is a robotics researcher whose work spans three interconnected domains: swarm robotics, human-robot interaction, and robot ethics. Based at the intersection of artificial intelligence and autonomous systems, Studley has made significant contributions to the challenge of automatically generating robot behaviors, particularly through evolutionary approaches. His work on evolving behaviour trees and onboard evolution for swarm robotics (63 and 37 citations respectively) addresses one of the field's fundamental problems — how robots can develop and adapt controllers in real-world environments without relying solely on offline simulation, helping bridge the notorious "reality gap." His development of the two-teraflop Xpuck swarm platform demonstrates a commitment to advancing practical research infrastructure. Studley has increasingly turned his attention to the ethical dimensions of robotics. His longitudinal field study on social robots and older adults (94 citations) stands as his most impactful work, rigorously examining emotional deception and attachment over extended periods — questions that are rarely tested in real-world conditions. His broader ethical thinking extends to global equity concerns, questioning whether automation-driven onshoring perpetuates inequality in developing nations. With roots in learning classifier systems dating to 2005, Studley represents a researcher who has thoughtfully evolved alongside the field itself.