Fangde Liu

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About

Fangde Liu is a researcher whose work bridges robotics, biomechanics, and medical intervention, with a particular focus on motion adaptation and steerable needle systems. His research centers on two key areas: biologically inspired locomotion and percutaneous surgical robotics. In his 2012 paper on "Motion Adaptation With Motor Invariant Theory," Liu explored how bipedal walking can be made more natural and energy-efficient by applying biological principles, proposing validity conditions for motion adaptation that challenge the stiff, inefficient gaits typical of conventional robotics. This foundational work has garnered 8 citations and continues to inform discussions on bio-inspired control. In the medical domain, Liu has made notable contributions to needle steering for minimally invasive surgery. His 2015 study on "Smooth on-line path planning for needle steering with non-linear constraints" (6 citations) addresses the critical challenge of target motion caused by soft tissue deformation during percutaneous interventions, presenting a deformation planner that enhances precision. Additionally, his 2013 work on "Deformation-as-control for a biologically inspired steerable needle" (4 citations) introduces STING, a novel robot for neurosurgery that leverages deformation theory to navigate complex kinematic constraints. Liu’s interdisciplinary approach—combining motor invariance theory with real-time path planning—positions him as a thoughtful contributor to both humanoid robotics and surgical technology.