A group of researchers has overcome challenges in replicating walking and running in robots by combining central pattern generators and deep reinforcement learning methods, enabling imitation of human motions and adaptability in various environments.
Walking and running involve biological redundancies that make adjusting to the environment and changing speed possible, posing a significant challenge in replicating them accurately in robots.
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