Great strides
In a dramatic breakthrough for robotics, researchers in the College of Engineering at Oregon State University used a reinforcement learning algorithm operating in a simulated environment to train a bipedal robot to walk, run, hop, skip, and climb stairs in the real world.
The “sim-to-real” learning process represents a transformation in robotics control, according to Jonathan Hurst, professor of mechanical engineering and robotics.