Researchers create digital humans that learn complex movements

Researchers create digital humans that learn complex movements
Credit: University of Twente

Researchers at Meta's Artificial Intelligence Research Lab (Facebook) in the U.S. and at the University of Twente's Neuromechanical Modelling and Engineering Lab in the Netherlands (led by Massimo Sartori), have co-developed the open-source framework MyoSuite, which combines advanced musculoskeletal models with advanced artificial intelligence (AI). The AI-powered digital models in MyoSuite can learn to execute complex movements and interactions with assistive robots, that would otherwise require long experimentations on real human subjects.

Modeling and simulation are now as important to human health technologies as they have been for the advancement of modern automotive industry. Prof. Massimo Sartori: "If we could predict the outcome of a robotic therapy beforehand, then we could optimize it for a patient and deliver a truly personalized and cost-effective treatment."

MyoSuite supports the co-simulation of AI-powered musculoskeletal systems physically interacting with such as exoskeletons. With MyoSuite you can simulate biological phenomena, e.g., muscle fatigue, muscle sarcopenia, tendon tear and tendon reaffirmation. Moreover, you can simulate how assistive robots could be designed and controlled to restore movement following impairment.

Because of the physiological correctness of our neural and muscular models, and the physical realism of our simulations, the AI-powered behaviors are realistic.

MyoSuite can open new avenues in reducing iteration cycles for the design of exoskeleton and robot-aided treatments, which would otherwise need long experimentations with real subjects. "We hope that diverse features supported by our framework will open new opportunities in understanding neuromechanical systems interacting with artificial robotic agents."

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Citation: Researchers create digital humans that learn complex movements (2022, May 24) retrieved 17 July 2024 from
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