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About

Yinan Pei is a pioneering researcher at the intersection of robotics, haptics, and medical education, whose work is transforming how neurological conditions are taught and assessed. Pei’s primary research areas include series elastic actuator (SEA) design, haptic simulation, and task-specific trajectory optimization for robotic systems. Their most significant contributions lie in developing robotic training simulators that replicate complex neurological symptoms—such as ankle clonus, rigidity, and spasticity—for medical education. Notably, Pei’s 2021 paper on an SEA-based ankle-foot simulator for clonus assessment training (14 citations) introduced a novel hybrid belt-linkage drive mechanism, clinically validated to provide realistic haptic feedback. This work was followed by an upper-limb simulator for rigidity assessment (2022, 4 citations) and a comprehensive model for elbow spasticity and rigidity (2023, 2 citations), both clinically validated to enhance training fidelity. In 2024, Pei expanded into trajectory optimization with a task-specific approach for redundant manipulators (4 citations), demonstrating versatility beyond medical applications. With a growing citation impact and a focus on bridging engineering and clinical practice, Pei’s research offers tangible tools for improving diagnostic skills among medical trainees, making them a key figure in the emerging field of robotic medical education.