The Brief
Practice makes perfect, even for robots?
The age-old cliché ‘practice makes perfect’ typically brings to mind human effort, but it might surprise you to learn it's just as relevant in the world of robotics.
Thanks to an exciting new algorithm, robots can now identify their weaknesses and polish their skills.?
The algorithm is known as "Estimate, Extrapolate, and Situate" (EES).?
It works by examining how well a robot performs and executes a specific task before making suggestions on which skills could do with a bit of practice.?
Researchers from the MIT Computer Science and Artificial Intelligence Lab (CSAIL) and The AI Institute are behind the new algorithm.?
It’s been tested on Boston Dynamics' Spot quadruped robot, which has been used in shipyards to monitor yard equipment and explore dangerous or hard-to-reach areas onboard ships.?
During the recent trial with the new ESS algorithm, Spot learnt in just 3 hours how to securely place a?ball and ring on a slanted table. In another test, Spot spent a couple of hours practising sweeping toys into a bin. Two hours later the robot was completing this task with a greater level of accuracy and speed.?
The researchers noted that previously it would have taken Spot a minimum of 10 hours to achieve proficiency in either of these skills.
While these tasks are quite basic, the new learning capability is expected to significantly improve the performance of robots across various environments, including factories and hospitals. In shipping, these additional self-learning skills could see robots inspecting, cleaning, or maintaining vessel areas and equipment with an ever higher degree of accuracy and speed than they are capable of today.?
Eventually, the researchers hope that simulators could be integrated to provide a combined virtual and physical practice environment, which would increase the learning pace even more.?
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