@terrymillerResearchers 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
ดูโพสต์ต้นฉบับ
ยังไม่มีความคิดเห็น มาเป็นคนแรกกันเถอะ!