Inseung Kang

Inseung Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the MetaMobility Lab, where his interdisciplinary research focuses on enhancing human mobility through robotics, wearable systems, and artificial intelligence. His work integrates mechatronic design, deep learning, control theory, and biomechanics to develop intelligent assistive technologies such as robotic exoskeletons for individuals with motor impairments.

Education:

• Ph.D., Mechanical Engineering, Georgia Tech, 2021
• M.S., Mechanical Engineering, Georgia Tech, 2018
• B.S., Mechanical Engineering, Georgia Tech, 2016

Dr. Kang's research interests span wearable robotics, rehabilitation robotics, medical robotics, control theory, human sensorimotor systems, neural engineering, neuroscience, signal processing, and AI-driven human-robot interaction. His lab emphasizes the development of adaptive, user-aware robotic systems that can optimize assistance across diverse locomotor tasks, such as walking, stair climbing, and slope navigation. By combining physics-informed simulations, computer vision, and real-time sensor feedback, his team aims to create intuitive, personalized wearable interventions.

The recent publications highlight a strong trend in machine learning-based control, real-time gait phase estimation, joint moment and kinematics prediction, and human-in-the-loop optimization. These works reflect a cohesive research agenda focused on making exoskeletons more intelligent, responsive, and clinically viable. The integration of deep learning with biomechanical modeling enables rapid adaptation to user needs and environmental changes.

Scientific Awards:

• No awards listed in the provided text.

Dr. Kang advises students in the MetaMobility Lab, supervising research on wearable robotics, control systems, and human movement analysis. His lab is equipped with advanced mechatronic platforms, robotic exoskeletons, and sensor systems for real-time data acquisition. He has not received any named grants in the provided text, but his research is clearly funded through institutional and possibly federal support. The lab fosters collaboration across engineering, neuroscience, and rehabilitation disciplines.

Laboratory & Team:
The MetaMobility Lab at CMU is dedicated to pioneering next-generation wearable robotics. The team works on developing mechatronic platforms, AI algorithms, and control frameworks that enhance human mobility. Their focus includes powered hip and knee exoskeletons, gait stability, and personalization techniques using computer vision and wearable sensors.