Researchers have developed a method to train humanoid robots in real-world skills like walking, balancing, recovering from unexpected pushes, and carrying heavy objects while adapting to changing environments. Traditional approaches struggle to teach these combined abilities, but a new study combines Reinforcement Learning and Model Predictive Control to overcome the challenge. The work aims to make humanoid robots safer for real-world interaction. More details at #Science
2mo
Researchers have developed a method to train humanoid robots in real-world skills like walking, balancing, recovering from unexpected pushes, and carrying heavy objects while adapting to changing environments. Traditional approaches struggle to teach these combined abilities, but a new study combines Reinforcement Learning and Model Predictive Control to overcome the challenge. The work aims to make humanoid robots safer for real-world interaction. More details at #Science
2mo
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