Inseung Kang

Inseung Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University. His research program addresses the grand challenge of enhancing human mobility through robotics, wearables, and artificial intelligence. His team develops versatile mechatronic systems and AI-based robot controllers, with a focus on wearable assistive devices such as robotic exoskeletons for individuals with motor impairments. Kang has received the NIH Trailblazer Award and has been named a MIT Technology Review Innovators Under 35 Asia Pacific. Before joining Carnegie Mellon, he was a postdoctoral associate at MIT and earned his B.S., M.S., and Ph.D. in mechanical engineering from Georgia Tech.

Inseung Kang is a researcher at Carnegie Mellon University focusing on exoskeletons, wearable robotics, and their integration with deep learning, biomechanics, and motor control. His work explores how robotic exoskeletons can enhance human locomotion by improving walking and running economy, reducing user effort, and optimizing gait phase estimation. Kang's research also investigates the biomechanical effects of exoskeleton assistance during various modes of movement, including stair climbing and incline/decline walking. His studies emphasize real-time control strategies and user-independent systems for adaptive robotic assistance. By combining biomechanics with machine learning, Kang aims to develop more efficient and intuitive wearable robotic solutions for mobility enhancement.