AI-Driven Robotic Exoskeletons Enhance Human Mobility

New AI and simulation techniques enable exoskeletons to assist with walking, running, and stair climbing without human-specific programming.

Researchers developed a 'learning-in-simulation' framework to train exoskeletons autonomously.
The method reduces energy expenditure by 24.3% for walking, 13.1% for running, and 15.4% for stair climbing.
This approach overcomes previous limitations requiring extensive human testing and handcrafted control laws.
The technology has potential applications for both able-bodied individuals and those with mobility impairments.
Future research will explore the use of exoskeletons for older adults and people with neurological conditions.