The Robotics Institute

Carnegie Mellon Robotics Institute

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		Martial Hebert Professor, RI Email: Office: EDSH 224 Phone: (412) 268-2585   Mailing address: Administrative Assistant: Lynnetta J. Miller Affiliated Center(s):  Vision and Autonomous Systems Center (VASC)  Quality of Life Technology Center (QoLT)  Center for the Foundations of Robotics (CFR) Personal Homepage

News and Media
		More Than a Good Eye: HERB Uses Arms and More To Discover Objects May 06, 2013. A robot can struggle to discover objects in its surroundings when it relies on computer vision alone. But by taking advantage of all of the information available to it — an object’s location, size, shape and even whether it can be lifted — a robot can continually discover and refine its understanding of objects, say researchers at Carnegie Mellon University’s Robotics Institute.
		Block-Based Method Helps Computers Decipher Outdoor Scenes September 09, 2010. Computer vision systems can struggle to make sense of a single image, but a new method devised by computer scientists at Carnegie Mellon University enables computers to gain a deeper understanding of an image by reasoning about the physical constraints of the scene.