The video shows a simulated Aibo robot motion-task execution before and after the learning process.
Trajectories are generated through the experience of the robot, rather than computed from a mathematical model of its body, and are optimazed using a reinforcement learning technique. This simulated version of the AIBO robot completing a ball throwing task is used to illustrate the the effectiveness of the proposed scheme.
Link to this comment:
All Comments (0)