AI-driven exoskeleton lightens your load, elevates performance

NC State and UNC-Chapel Hill's AI-powered exoskeleton could improve disability mobility. I demonstrated a similar technology and received many app uninstall requests. This new exoskeleton may help.  

The wearable's energy savings during movement make users feel 26 pounds lighter. Life and athletic performance improve.  

For precise physical support, this new exoskeleton leverages sophisticated digital twin simulations where humans and robots learn and adapt over millions of iterations.   

AI in the exoskeleton improves humans beyond simulations and games. Smart, intuitive wearable robots that promote health and mobility are created using data-driven and physics-informed reinforcement learning.   

Robot sensor inputs are converted to assistive torque for end-to-end control without intermediate steps in this unique method. Interview with NC State and UNC-Chapel Hill assistant professor Hao Su, Ph.D. BIRO director:   

"Our efficient learning-in-simulation framework speeds exoskeleton design and testing in computer simulations instead of humans and robots, cutting R&D and actuator expenses to $50,000 to $120,000.  

Robots with low-ratio gears and cheap, high-torque electric motors are affordable and accessible. We want to market exoskeletons for $1,500–$4,000 next year, depending on features and scalability."  

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