Researchers from the Massachusetts Institute of Technology have developed a new algorithm for which
A new machine learning method allows the robot to pick up and manipulate previously unknown objects that are in random poses. In 10-15 minutes, the robot will be ready to perform a new task.
According to the authors, in their approach they usedneural network, which is specially designed to restore the shapes of 3D objects. With just a few demonstrations, the system recognizes the object's geometry.
The authors set up a simulation usingreal robotic hands. They showed that their system could effectively manipulate mugs, bowls, and bottles placed in random positions. The authors used only 10 demonstrations to train the robot.
“Our work is a contribution to the development of systems,that can work in more unstructured environments,” said Anthony Simeonov, PhD student in the Department of Electrical Engineering and Computer Science (EECS) and co-author of the paper.
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