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About

Ting‐Yi Sie is a rising leader in rehabilitation robotics, whose work fuses intelligent control, virtual reality, and brain–computer interfaces to restore mobility. Sie’s core research spans pneumatic artificial muscle (PAM) actuation, neural network control, and immersive VR-BCI systems for lower-limb exoskeletons. In a landmark 2021 study (27 citations), Sie introduced a sliding-mode controller for a PAM-actuated robot arm, using a genetic algorithm for precise parameter identification—a foundational contribution to soft, safe robotic actuation. Building on this, Sie’s 2023 work (19 citations) developed an artificial neural network controller for a lower-limb robotic exoskeleton, demonstrating superior trajectory tracking over traditional PID methods. Most notably, Sie’s 2024 study (15 citations) integrated VR-enhanced motor imagery with a BCI to classify user intention and drive a rehabilitation exoskeleton, marking a significant step toward intuitive, patient-driven therapy. Sie also pioneered a synchronized robotic arm control system using mixed reality and IMU sensing. With a growing citation record and a clear trajectory toward human–robot synergy, Ting‐Yi Sie is shaping the future of assistive robotics for clinical and home rehabilitation.