Seminar
Temporal Causality for Visual Event Analysis
Event Location: NSH 1305Bio: Jim Rehg is a Professor in the School of Interactive Computing at the Georgia Institute of Technology. He is co-Director of the Computational Perception Lab and Associate Director of Research in the Center for Robotics and Intelligent Machines. He received his Ph.D. from CMU in 1995 and worked at the Cambridge [...]
Next-generation Interactive Simulation
Event Location: Rashid Auditorium - Gates and Hillman Centers 4401Bio: I am an Assistant Professor in the computer graphics group at Carnegie Mellon University. I received my PhD under Zoran Popovic in the computer graphics group at the University of Washington, and was a postdoc in the Baker Group under Zoran Popovic and David Baker. [...]
Perching on Walls: toward hybrid aerial/scansorial robotics
Event Location: NSH 1305Bio: Mark Cutkosky (Ph.D. CMU 1985) is a Professor in Mechanical Engineering at Stanford University. He formerly was a lecturer at CMU and a design engineer at ALCOA. He has lead numerous projects in dexterous manipulation, haptics, bio-inspired robotics and design collaboration. He has graduated over 30 Ph.D. students in these areas, [...]
Target Tracking, Geolocation, and Search with Small UAVs
Event Location: NSH 1109Bio: Michael is a Ph.D student at the Robotics Institute.Abstract: Cooperative surveillance using teams of unmanned aerial vehicles (UAVs) is a fruitful area of study given the many real-world applications and open research problems it offers. In this talk I will present our vision for such teams in an air-ground collaboration context [...]
Global Scan-Matching for Incremental Map Construction Using Line Features
Event Location: NSH 1109Bio: Don Burnette is a Ph.D. student at the Robotics Institute. Abstract: I propose a laser based odometry algorithm which utilizes line feature based scan matching to determine the pose of a robot in an unknown, structured environment, while incrementally building a map of that environment. The algorithm is tested on a variety of data sets, using different types of laser range scanners, in various real world environments. The algorithm incrementally generates line-feature based maps in real-time as the robot moves throughout the environment, [...]
Classification of Mars Terrain Using Multiple Data Sources
Event Location: NSH 1109Bio: Alan Kraut is a student in the Robotics Institute, conducting research under David Wettergreen. His current research interests focus on the application of machine learning to computer vision for space robotics. He received a Bachelor of Science degree in Engineering from Harvey Mudd College in 2008.Abstract: Data about Mars are being [...]
Planning and Learning in Information Space
Event Location: NSH 1305Bio: Nicholas Roy is an Associate Professor in the Department of Aeronautics & Astronautics at the Massachusetts Institute of Technology and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. He received his Ph. D. in Robotics from Carnegie Mellon University in 2003. His research interests include autonomous [...]