Artificial Intelligence
Researchers are using sim-to-real reinforcement learning to train humanoid robots like Digit V3 to perform tasks in real-world settings, such as walking in unfamiliar environments and carrying loads without toppling over. This approach employs repeated simulations to accelerate the robots’ learning process, ultimately aiming to make humanoid robots more adaptable and useful in work environments.