Haodi Ning

Papers

Total Citations

H-Index

About

Haodi Ning is a researcher in rehabilitation robotics and sensor-based human-machine interaction, with a focus on developing intelligent training systems for motor recovery. Their most-cited work, "A Training Method for a Sensor-Based Exercise Rehabilitation Robot" (2022), addresses a critical limitation in traditional mirror therapy—its failure to incorporate real-time feedback from the affected limb. Ning proposed a novel approach that integrates sensor data to create a mirror active rehabilitation training system, enabling more responsive and effective therapy. This contribution bridges the gap between passive mirroring and active, data-driven rehabilitation, offering a pathway to improved outcomes for patients with motor impairments. With 4 citations, this paper has already attracted attention in the growing field of assistive robotics. Ning’s work exemplifies how sensor technology can transform rehabilitation, making therapy more adaptive and patient-centered. Their research holds promise for advancing robotic exoskeletons and wearable sensors in clinical and home settings, positioning them as an emerging voice in the intersection of robotics, healthcare, and human-centered design.