A robotic cheetah, built by MIT, taught itself to run and optimized it to top speeds. AI-supported simulations let the robot learn how to move efficiently on all types of terrain.
The key to success in running robots is adaptability. If they are to move faster and more confidently over different terrains, they will probably need to change their gait and speed whenever obstacles cross their path or the terrain changes.
While a robot’s programming can be manually modified and updated it is a time-consuming process that inevitably causes the robot to fail every time it encounters something unknown.
Learning from mistakes
A better approach is to create a robot that can learn through trial and error ... Read even more
