The research could potentially be used to develop more realistic avatars for the metaverse. The team is also working on improving the AI's ability to generalize from one task to another. In the MyoChallenge 2023, teams are required to use the MyoArm and MyoLegs to perform specific tasks, such as manipulating common household objects and playing a game of tag. The researchers believe that the lessons learned from the human body's control techniques can be valuable for robotics.
Key takeaways:
- The MyoSuite platform, developed by Meta AI in collaboration with researchers from McGill University, Northeastern University, and the University of Twente, uses machine learning to solve biomechanical control problems, aiming to demonstrate human-level dexterity and agility.
- The platform includes simulated body parts like an arm and legs that use a combination of muscles and joints to interact with objects, similar to how a toddler might explore their environment.
- One of the lead researchers, Vikash Kumar, believes that roboticists can learn valuable lessons from the human body’s control techniques, despite the complexity of the task.
- The MyoSuite platform could potentially be used to develop more realistic avatars for the metaverse, according to Mark Zuckerberg.