Pingli Lu

Papers

Total Citations

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About

Pingli Lu is a researcher in biomechanics and rehabilitation robotics, with a focus on developing innovative systems for spinal therapy and human-machine interaction. Her most cited work, "An innovative robotic training system imitating the cervical spine behaviors during rotation–traction manipulation" (2018, 4 citations), introduces a robotic platform that replicates the complex mechanical behaviors of the cervical spine during manual therapy. This contribution bridges the gap between clinical manipulation techniques and robotic precision, offering a training tool that enhances safety and reproducibility in spinal treatments. Lu’s research integrates principles of mechanical engineering, kinematics, and clinical rehabilitation, aiming to improve therapeutic outcomes for neck disorders. While her citation count reflects a growing niche, her work is notable for its interdisciplinary approach and potential to transform manual therapy training through automation. By simulating the nuanced forces and motions of rotation–traction, she addresses a critical need for standardized, data-driven rehabilitation tools. Lu’s contributions are particularly relevant for researchers and clinicians seeking to merge robotics with patient-specific care, positioning her as a rising voice in the field of medical robotics and biomechanical simulation.