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About

Peter Lightbody is a robotics researcher whose work spans soft robotics, visual perception systems, and human-robot collaboration. His most influential contribution lies in the development of soft robotic grippers for delicate manipulation tasks, particularly within the agri-food industry. His 2019 paper on 3D-printed Fin Ray soft robotic fingers, which incorporates layer jamming technology to enable gentle yet adaptive grasping of fragile produce, has garnered 51 citations and represents a significant step toward automating food handling without compromising product integrity. Lightbody has also made notable contributions to robotic perception through his work on visual fiducial marker systems. His pair of 2017 papers — proposing efficient localisation algorithms and a scalable circular marker family — have collectively accumulated 70 citations, demonstrating their strong uptake across robotics applications including swarm localisation and environment augmentation. Beyond perception and manipulation, Lightbody has explored the cognitive dimensions of human-robot collaboration, investigating how robots can provide assistive support in shared workspaces and recognise individual human behavioural patterns during cooperative tasks. Together, his research reflects a holistic vision of robots that can perceive, adapt, and collaborate meaningfully alongside humans in real-world environments.