Researchers at 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 arm. They showed that their system could efficiently manipulate mugs, bowls, and bottles in random positions. The authors used a total of 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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