Robust and Efficient Real-time Mapping for Autonomous Robots
Event Location: NSH 1507Bio: Michael Kaess is an Assistant Research Professor in the Robotics Institute at Carnegie Mellon University (CMU). Prior to joining CMU in 2013, he was a Research Scientist (2010-2013) and a Postdoctoral Associate (2008-2010) in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). He received [...]
Large Scale Visual Recognition in Real-World Images
Event Location: NSH 1507Bio: Jia Li is a research scientist at Yahoo! Research. She leads the Visual Computing and Learning Group. Her research interests are computer vision, machine learningļ¼social network analysis and multimedia analysis. She received her Ph.D. degree from the Computer Science Department at Stanford University. She is the leader of the OPTIMOL team, [...]
Metric Global Localization using Street View
Event Location: GHC 2109Bio: Pratik Agarwal received his B.E. degree in Computer Science and Engineering from Manipal Institute of Technology, India in 2010, and M.S.E. in Computer Science and Engineering from University of Michigan, Ann Arbor in 2012, where he also worked as a research assistant at the APRIL robotics laboratory. Currently, he is a [...]
Presentation and roundtable: Self-sustaining ocean-going robots — and others — and data collection
Event Location: NSH 1305Bio: James Gosling received a BSc in Computer Science from the University of Calgary, Canada in 1977. He received a PhD in Computer Science from Carnegie-Mellon University in 1983. The title of his thesis was "The Algebraic Manipulation of Constraints". He spent many years as a VP & Fellow at Sun Microsystems. [...]
Long-Term Visual Route Following for Mobile Robots
Event Location: NHS 1305Bio: Dr. Timothy Barfoot (Associate Professor, University of Toronto Institute for Aerospace Studies -- UTIAS) holds the Canada Research Chair (Tier II) in Autonomous Space Robotics and works in the area of guidance, navigation, and control of mobile robots for space and terrestrial applications. He is interested in developing methods to allow [...]
State Estimation for Humanoid Robots
Event Location: GHC 8102Abstract: This proposal focuses on dynamic model based state estimation for hydraulic humanoid robots. The goal is to produce state estimates that are robust and achieve good performance when combined with the controller. Three issues are addressed in this proposal. 1. How to handle modelling error using state estimation? 2. How to [...]
Object Detection: from Structured Models to Deep ConvNets and Back Again
Event Location: NSH 1507Bio: Ross Girshick is a Researcher at Microsoft Research in Redmond, WA. He completed his Ph.D. in computer vision at The University of Chicago under the supervision of Pedro Felzenszwalb in 2012. Following his Ph.D., he spent two wonderful years as a postdoctoral fellow working with Jitendra Malik and Trevor Darrell at [...]
Dynamic Model Formulation and Calibration for Wheeled Mobile Robots
Event Location: NSH 1507Abstract: Advances in hardware design have made wheeled mobile robot(WMRs) exceptionally mobile. To fully exploit this mobility, WMR planning, control,and estimation systems require motion models that are fast and accurate. Much of the published theory on WMR modeling is limited to 2D or kinematics, but 3D dynamic (or force-driven) models are required [...]
Spring-loading human locomotion: Taking inspiration from biology to improve lower-limb exoskeleton design
Event Location: NSH 3305Bio: Dr. Gregory S. Sawicki is an Assistant Professor in the Joint Department of Biomedical Engineering at North Carolina State University and the University of North Carolina at Chapel Hill. He received B.S. and M.S. degrees in Mechanical Engineering from Cornell University (1999) and the University of California-Davis (2001). Prior to his [...]
Improving visual category recognition by diversity and commonality
Event Location: NSH 1507Bio: Jonghyun Choi is a PhD candidate in the Computer Vision Lab at the University of Maryland, working with Prof. Larry Davis. He received the BS and MS degrees in electrical engineering and computer science from Seoul National University, Seoul Korea in 2003 and 2008 respectively. He has worked as an intern [...]