Collaborative Computing and the Physical World

  • Greg Hager | Johns Hopkins University

For the past 20 years, many groups, including our own, have been developing methods for time-series analysis of video data with applications to both robotic guidance and for human-machine interaction. Today, with the benefit of new platforms for gathering data, more powerful computing, and new insights into the development of models from data, these threads are starting to converge. The result is a set of unique new opportunities for human-machine collaboration in the physical world. In this talk, I will illustrate the idea of human-machine collaboration in a variety of areas, including medicine, computer-assisted surgery, remote telemanipulation, and in a “flipped lab” for research on collaborative computing based around a public interactive display.

Speaker Details

Gregory D. Hager is a Professor and Chair of Computer Science at Johns Hopkins University and the Deputy Director of the NSF Engineering Research Center for Computer Integrated Surgical Systems and Technology. His research interests include time-series analysis of image data, image-guided robotics, medical applications of image analysis and robotics, and human-computer interaction. He is currently a member of the governing board of the International Federation of Robotics Research and the Council of the CRA Computing Community Consortium. In 2006, he was elected a fellow of the IEEE for his contributions in Vision-Based Robotics.

    • Portrait of Jeff Running

      Jeff Running

Series: Microsoft Research Talks