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About
Dr. Longhai Lu is a researcher specializing in biomechatronics and rehabilitation robotics, with a particular focus on exoskeleton control and human motion analysis. His work centers on developing innovative methods for estimating lower limb joint dynamics, a critical component for advancing assistive robotic technologies. Dr. Lu’s major contribution includes the introduction of a novel human model for estimating lower limb joint torque during low-speed stair climbing, moving beyond classical Newton-Euler approaches. This model, detailed in his work on a wearable multi-sensor system for joint torque evaluation, offers a more accurate and practical framework for controlling exoskeleton robots in real-world scenarios. While his most-cited paper has garnered 2 citations, its significance lies in its foundational approach to torque estimation, which is essential for improving the safety and efficacy of robotic assistance for mobility-impaired individuals. Dr. Lu’s research bridges the gap between theoretical biomechanics and applied robotics, contributing to the development of smarter, more responsive exoskeletons that can adapt to complex human movements like stair climbing.
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Top Papers
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