LCSR Seminar: Peter Kazanzides “Robotics and mixed reality to assist human task performance”

March 10, 2021 @ 12:00 pm – 1:00 pm
Ashley Moriarty

Link for Live Seminar

Link for Recorded seminars – 2020/2021 school year



The capabilities of artificial intelligence and robotics have advanced significantly in recent years, but many tasks still require human involvement or oversight for at least some phases. This is especially true for critical tasks, such as surgery or space operations, where the costs of failure are high. We therefore consider approaches, such as mixed reality visualization, interactive interfaces and mechanical assistance, that can enable more effective partnerships between humans and machines. This presentation will highlight several examples in applications of computer-assisted interventions in the operating room and in space.



Peter Kazanzides received the Ph.D. degree in electrical engineering from Brown University in 1988 and began work on surgical robotics as a postdoctoral researcher, advised by Russell H. Taylor, at the IBM T.J. Watson Research Center. Dr. Kazanzides co-founded Integrated Surgical Systems (ISS) in November 1990 to commercialize the robotic hip replacement research performed at IBM and the University of California, Davis. As Director of Robotics and Software, he was responsible for the design, implementation, validation and support of the ROBODOC System, which has been used for more than 20,000 hip and knee replacement surgeries. Dr. Kazanzides joined Johns Hopkins University in December 2002 and is currently appointed as a Research Professor of Computer Science. He is a member of the Laboratory for Computational Sensing and Robotics (LCSR) and directs the Sensing, Manipulation and Real-Time Systems (SMARTS) lab.  His research interests include medical robotics, space robotics, and mixed reality, which share the common themes of human/machine interfaces to keep the human in the loop, real-time sensing to account for uncertainty, and system engineering to enable deployment in the real world.


Laboratory for Computational Sensing + Robotics