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About

Reza Tafreshi is a robotics and biomedical engineering researcher whose work sits at the intersection of rehabilitation robotics, exoskeleton design, and human-machine interfaces. He is best known for leading the development of the CLEVER ARM, a compact, lightweight, and ergonomic upper-limb exoskeleton designed to aid stroke patient rehabilitation through virtual and augmented reality-enhanced therapy — a contribution that has earned over 80 citations and established him as a notable voice in assistive robotics. His subsequent work on kinematic design optimization of an eight degree-of-freedom upper-limb exoskeleton further demonstrates his commitment to maximizing workspace dexterity while minimizing device footprint, garnering an additional 32 citations. Beyond exoskeleton hardware, Tafreshi has made meaningful contributions to intuitive human-machine interaction, developing real-time EMG and IMU-based control systems that allow users to command robotic manipulators through dynamic hand gestures — work that reflects his broader interest in seamless neuromuscular integration with robotic systems. His more recent research applies machine learning techniques, including Support Vector Machine–Long Short-Term Memory fusion, to improve joint angle estimation from EMG signals. Collectively, Tafreshi's research advances both the hardware and intelligence layers of rehabilitation and assistive robotics, making him a well-rounded contributor to this rapidly evolving field.