• Purdue University researchers have completed early testing of robots using three different “end effectors” that act as hands to uniquely manipulate items (Photo courtesy of Purdue University/Jared Pike)
  • With computer vision and onboard machine learning, the system can identify an object and its orientation, select the right grasping tool and then handle it.

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