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About

Barry William Mulvey is a leading researcher at the intersection of soft robotics, embodied intelligence, and mobile robot navigation in unstructured environments. His work fundamentally challenges the rigidity of conventional robots, drawing inspiration from biological systems to create machines that can adapt their shape to navigate cluttered and uneven terrain. Mulvey’s major contributions include the development of the PaTS-Wheel, a passively-transformable single-part wheel that allows robots to traverse stepped obstacles, and the DeforMoBot, a bio-inspired deformable robot that conforms its body to squeeze through narrow gaps. These innovations, which have garnered over 15 and 14 citations respectively, represent a paradigm shift from obstacle avoidance to obstacle negotiation. His HAVEN framework further advances this by integrating haptic and visual perception for shape-changing robots. With a total of 38 citations across his most-cited works, Mulvey’s research not only pushes the boundaries of mechanical design but also uses soft robots as a platform to explore the principles of embodied intelligence, where physical form and control are deeply intertwined. His work is essential reading for anyone interested in the future of adaptive, resilient robotics.