Communications of the ACM
Self-Learning Robot Hands
Researchers at Bielefeld University have developed a grasp system for robot hands that autonomously familiarizes itself with new objects.
Credit: Bielefeld University
Researchers at Bielefeld University in Germany have developed robot hands that can learn to grasp objects without previous knowledge of their characteristics, as part of a project at Bielefeld's Cluster of Excellence Cognitive Interaction Technology (CITEC).
"Our system learns by trying out and exploring on its own--just as babies approach new objects," says Bielefeld professor Helge Ritter.
The researchers are developing a two-handed robot whose appendages' shape and mobility are modeled after human hands.
"The system learns to recognize such possibilities as characteristics, and constructs a model for interacting and re-identifying the object," Ritter says.
The project integrates artificial intelligence research with other fields, and a human mentor instructs the robot in how it should handle objects.
"The robot hands have to interpret not only spoken language, but also gestures," says CITEC's Sven Wachsmuth. "And they also have to be able to put themselves in the position of a human to also ask themselves if they have correctly understood."
From Bielefeld University (Germany)
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