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Georgia Tech Develops Exoskeleton Controller Reducing Metabolic Cost and Joint Work

Nov 14, 2024, 04:55 AM

Researchers from the Georgia Institute of Technology have developed a deep learning-based, task-agnostic exoskeleton controller that can assist users across a wide range of leg movements. This innovation, published in Nature, represents a significant step towards the real-world viability of exoskeletons. The controller has been evaluated on over 30 human activities, demonstrating its potential to adapt in real-time to various tasks, thereby improving mobility for individuals with reduced physical capabilities while reducing metabolic cost and joint work.