Atlas用RL学习搬冰箱，仿真适应实物变化
Great demo, living up to the name. From the blog post:
'Atlas uses reinforcement learning (RL) to learn how to lift a fridge by practicing the move with an absurdly large number of variations of the fridge in simulation. The hardest part is not seeing the fridge or knowing how to lift it, but learning to adapt to whatever version of the fridge that Atlas will encounter in the real world. This is a combined control and perception problem, where perception is done implicitly from body proprioception. The policy driving the behavior has learned to adapt to variations like the location of the fridge, its mass, the amount of grip on the ground and with the fridge, or the configuration where the fridge settles in between the torso, arms, and hands. That level of adaptation is one of the most fundamental building blocks of physical intelligence.'
'Atlas uses reinforcement learning (RL) to learn how to lift a fridge by practicing the move with an absurdly large number of variations of the fridge in simulation. The hardest part is not seeing the fridge or knowing how to lift it, but learning to adapt to whatever version of the fridge that Atlas will encounter in the real world. This is a combined control and perception problem, where perception is done implicitly from body proprioception. The policy driving the behavior has learned to adapt to variations like the location of the fridge, its mass, the amount of grip on the ground and with the fridge, or the configuration where the fridge settles in between the torso, arms, and hands. That level of adaptation is one of the most fundamental building blocks of physical intelligence.'
Everyone asks if Atlas can bring them a drink, but this robot can bring you the whole fridge. Using AI-driven behaviors, Atlas is doing hard work and coordinating its whole body to manage heavy objects, balancing complex contact points with accuracy and reliability. https://t.co/yXG0dY6Qqf