Table Tennis: A Research Platform for Agile Robotics

Posted by Avi Singh, Research Scientist, and Laura Graesser, Research Engineer, Robotics at Google

Robot learning has been applied to a wide range of challenging real world tasks, including dexterous manipulation, legged locomotion, and grasping. It is less common to see robot learning applied to dynamic, high-acceleration tasks requiring tight-loop human-robot interactions, such as table tennis. There are two complementary properties of the table tennis task that make it interesting for robotic learning research. First, the task …

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