Lecture is at 10am and repeats at noon.
Dr. O'Kane will present the research of his lab, South Carolina Autonomous Robotics Research (SCARR), some of which was mentioned and shown in the Fall 2012 issue of the College's TechnoKids Newsletter.
Dr. O'Kane's research is in planning algorithms for robotics and autonomous systems. As robot technology becomes more practical, it becomes increasingly important to design robots that are suitable for domains that are unpredictable and inhospitable, while ensuring that the resulting systems are robust and inexpensive. Because sensing and uncertainty are central issues in robotics, it is essential to understand how to solve robotics problems when sensing is limited and uncertainty is great. Professor O'Kane's interests span sensor-based algorithmic robotics and related areas, including planning under uncertainty, artificial intelligence, computational geometry, sensor networks, and motion planning.
See the Edison Lecture Program for more details.