About
Dr. Ge Lv is an assistant professor at the Departments of Mechanical Engineering and Bioengineering at Clemson University. He received the B.S. degree in automation and the M.S. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2011 and 2013, respectively, and the Ph.D. degree in electrical engineering from the University of Texas at Dallas, in 2018. Prior to joining Clemson University in Spring 2020, he was a Postdoctoral Fellow with the Robotics Institute, Carnegie Mellon University. His research primarily focuses on the development and control of lower-limb wearable assistive devices (e.g., exoskeletons and prostheses) to assist persons with disabilities. Dr. Lv is the recipient of the Best Student Award of the 54 th IEEE Conference on Decision and Control and Faculty Development Award of the South Carolina Translational Research Improving Musculoskeletal Health (SC TRIMH). He is also a member of the IEEE Control Systems Society and Robotics and Automation Society.
Visit Dr. Lv's Department Profile.
How their research is transforming health care
Emerging wearable robots have shown great promises in restoring normative gaits for persons with disabilities and augmenting gaits for able-bodied users. Despite the major advancements in the field, current control systems for these devices are still task-specific and user-dependent, which cannot be easily translated to varying daily locomotor tasks. A team of engineers and physical therapists often need to spend hours configuring control parameters for each user performing specific tasks. Dr. Lv’s research tackles this challenge through the development of task-invariant control strategies and human-in-the- loop optimization frameworks to customize parameters of these control strategies. The proposed task-invariant control strategies can provide consistent assistance across different activities without the need of prescribing to task-specific joint kinematics. Through human-in-the-loop optimization, wearable robots can rapidly adapt to each user’s gaits and update their control parameters to provide customized assistance for optimal gait outcomes. This research can have significant societal impact on millions of Americans, both able-bodied individuals and those who sustain gait disorders. Because this innovation enables exoskeletons to automatically customize their assistance, which otherwise will be achieved by a team of therapists and engineers through trial and error that lasts for hours, the associated cost of using exoskeletons can be substantially reduced.
Health research keywords
Faculty Scholar, Rehabilitation engineering, gait analysis, prosthetics, exoskeletons, robotics, control, biomechanics
