In this webinar you’ll learn about professor Rodriguez’ research on autonomous robotic manipulation, dexterous manipulation and grasping, robot automation and end-effector design.
Using machine-learning and sensory hardware, Dr. Alberto Rodriguez and members of MIT's MCube lab, have developed a robot that is learning how to play the game Jenga®. This technology could be used in robots for manufacturing assembly lines.
You’ll also learn how, by using a novel dataset that captures how pushed objects move, he is training robots to “learn” pushing dynamics that are fundamental to many complex object-manipulation tasks.
He will also present how to significantly speed up the planning process required for a robot to adjust its grasp on an object by pushing that object against a stationary surface.
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