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Q&A: Helping robots identify objects in cluttered spaces
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Imagine a coffee cup sitting on a table. Now, imagine a book partially obscuring the cup. As humans, we still know what the coffee cup is even though we can’t see all of it. But a robot might be confused. Robots in warehouses and even around our houses struggle to identify and pick up objects if they are too close together, or if a space is cluttered. This is because robots lack what psychologists call “object unity,” or our ability to identify things even when we can’t see all of them. Researchers at the University of Washington have developed a way to teach robots this skill. The method, called THOR for short, allowed a low-cost robot to identify objects - including a mustard bottle, a Pringles can and a tennis ball - on a cluttered shelf. In a recent paper published in IEEE Transactions on Robotics, the team demonstrated that THOR outperformed current state-of-the-art models.
Emerging TechnologiesEngineeringMachine LearningNanorobotRobotRoboticsUniversity of Washington
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