Mar 31, 2022

Creating a Tendon-Driven Robot That Teaches Itself to Walk with Reinforcement Learning

Posted by in categories: information science, robotics/AI

Why do industrial robots require teams of engineers and thousands of lines of code to perform even the most basic, repetitive tasks while giraffes, horses, and many other animals can walk within minutes of their birth?

My colleagues and I at the USC Brain-Body Dynamics Lab began to address this question by creating a robotic limb that learned to move, with no prior knowledge of its own structure or environment [1,2]. Within minutes, G2P, our reinforcement learning algorithm implemented in MATLAB®, learned how to move the limb to propel a treadmill (Figure 1).


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  1. Albertine says:

    REALLY COOL A I. So many suffer from past injuries… Great possibilities!!!