A robot moves a toy package of butter around a table in the Intelligent Robotics and Vision Lab at The University of Texas at Dallas. With every push, the robot is learning to recognize the object through a new system developed by a team of UT Dallas computer scientists.
The new system allows the robot to push objects multiple times until a sequence of images are collected, which in turn enables the system to segment all the objects in the sequence until the robot recognizes the objects. Previous approaches have relied on a single push or grasp by the robot to “learn” the object.
The team presented its research paper at the Robotics: Science and Systems conference held July 10–14 in Daegu, South Korea. Papers for the conference were selected for their novelty, technical quality, significance, potential impact and clarity.
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