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Researchers create digital humans that learn complex movements

Credit: University of Twente

Researchers at Meta’s Synthetic Intelligence Research Lab (Fb) within the U.S. and on the University of Twente’s Neuromechanical Modelling and Engineering Lab within the Netherlands (led by Massimo Sartori), have co-developed the open-source framework MyoSuite, which mixes superior musculoskeletal fashions with superior synthetic intelligence (AI). The AI-powered digital fashions in MyoSuite can study to execute advanced actions and interactions with assistive robots, that might in any other case require lengthy experimentations on actual human topics.

Modeling and simulation are actually as essential to human well being applied sciences as they’ve been for the development of recent automotive business. 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 helps the co-simulation of AI-powered musculoskeletal methods bodily interacting with assistive robots resembling exoskeletons. With MyoSuite you possibly can simulate organic phenomena, e.g., muscle fatigue, muscle sarcopenia, tendon tear and tendon reaffirmation. Furthermore, you possibly can simulate how assistive robots may very well be designed and managed to revive motion following impairment.

Due to the physiological correctness of our neural and muscular fashions, and the bodily realism of our simulations, the AI-powered behaviors are real looking.

MyoSuite can open new avenues in decreasing iteration cycles for the design of exoskeleton and robot-aided therapies, which might in any other case want lengthy experimentations with actual topics. “We hope that diverse features supported by our framework will open new opportunities in understanding neuromechanical systems interacting with artificial robotic agents.”

NeuroMechFly: A digital twin of Drosophila

Extra info:

Researchers create digital people that study advanced actions (2022, May 24)
retrieved 24 May 2022

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