Carnegie Mellon University established the Quality of Life Technology Center in 2006 funded by the National Science Foundation. We define Quality of Life Technology (QoLT) as intelligent systems that augment body and mind functions for self-determination for older adults and people with disabilities. QoLT systems can take many forms: they could be a device that a person carries, a mobile system that accompanies a person, or a technology-embedded environment in which a person lives. While QoLT research aims at intelligent systems, it is a departure from traditional “intelligent” or “autonomous” robotics. Traditional robotics research, with military engagement, space exploration, hazardous environment, and industrious production as the main application domains, has had an implicit premise of reducing human involvement. In contrast, QoLT systems must work in the daily environment with a person and for the person; they are a person-system symbiosis in which the person and the artifact components are mutually dependent and work together. Our basic tenet of QoLT systems that appropriately make for diminished human capabilities is: QoLT compensation = Person’s intention – Person’s capability

        This talk will cover some of our research results of various projects. The projects will include First-Person Vision, which, instead of viewing a person from the environment (third-person’s view), analyzes the scene in which the person acts and her behaviors in it from the images taken from her view point by a wearable vision camera systems; PerMMA (Personal Mobility and Manipulation Appliance), which combines mobile manipulation, perception, and human system interaction in a co-control manner among the user, the autonomy and the remote caregiver; and Human Behavior Prediction, which has been applied to predicting the person’s future movement so that the robots can smoothly navigate in the room.

    报告人简介：

        Takeo Kanade is the U. A. and Helen Whitaker University Professor of ComputerScience and Robotics and the director of Quality of Life Technology Engineering Research Center at Carnegie Mellon University. He is also the director of Digital Human Research Center in Tokyo, which he founded in 2001. He received his Doctoral degree in Electrical Engineering from Kyoto University, Japan, in 1974. After holding a faculty position in the Department of Information Science, Kyoto University, he joined Carnegie Mellon University in 1980, where he was the Director of the Robotics Institute from 1992 to 2001. Dr. Kanade works in multiple areas of robotics: computer vision, multi-media, manipulators, autonomous mobile robots, medical robotics and sensors. He has written more than 300 technical papers and reports in these areas, and holds more than 20 patents. He has been the principal investigator of more than a dozen major vision and robotics projects at Carnegie Mellon.Dr. Kanade has been elected to the National Academy of Engineering; the American Academy of Arts and Sciences; a Fellow of the IEEE; a Fellow of the ACM, a Founding Fellow of American Association of Artificial Intelligence (AAAI). The awards he has received include the Franklin Institute Bower Prize, Okawa Award, C&C Award, Joseph Engelberger Award, IEEE Robotics and Automation Society Pioneer Award, FIT Accomplishment Award, and IEEE PAMI-TC Azriel Rosenfeld Lifetime Accomplishment Award.