RI Seminar
Chris Urmson
Tech Lead, Chauffeur team
Carnegie Mellon University

Realizing Self-Driving Vehicles

Event Location: GHC 4401 Rashid AuditoriumBio: Chris Urmson is the Tech Lead of the Chauffeur team and an assistant research professor at Carnegie Mellon University (on leave). Chris was the Director of Technology for Tartan Racing, the winner of the 2007 DARPA Urban Challenge. He earned his PhD in 2005 from the Robotics Institute and [...]

RI Seminar
Andre Platzer
Assistant Professor, Computer Science Department
Carnegie Mellon University

Logical Analysis of Hybrid Systems

Event Location: NSH 1305Bio: André Platzer is an Assistant Professor in the Computer Science Department at Carnegie Mellon. Dr. Platzer developed the theory, practice, and applications of logical analysis and verification of hybrid systems, and he proved the very first completeness theorem for hybrid systems. He introduced compositional verification techniques and methods that can verify [...]

RI Seminar
Ed Durfee
Professor, Computer Science and Engineering
University of Michigan

Don’t Always Ask, Don’t Always Tell: Judicious Mutual Modeling in Cooperative Multiagent Systems

Event Location: 1305 Newell Simon HallBio: Ed Durfee is a Professor of Computer Science and Engineering, and of Information, at the University of Michigan, where he has served on the faculty for over 20 years. His research focuses on developing representations and algorithms for multiagent planning, scheduling, and coordination, with applications that include cooperative robotics, [...]

RI Seminar
Pedro Szekely
Project Leader, Information Sciences Institute
University of Southern California

STaC: Automated Adaptation of Strategic Guidance in Multiagent Coordination

Event Location: 1305 Newell Simon HallBio: Dr. Pedro Szekely is a Project Leader in USC/ISI and a Research Assistant Professor in USC’s Computer Science Department. He received his M.S. and Ph.D. degrees in Computer Science from Carnegie Mellon University in 1982 and 1987. Pedro has worked on user interfaces, multi-agent systems, and planning and scheduling. [...]

RI Seminar
Cynthia Breazeal
Associate Professor, Media Arts and Sciences
Massachusetts Institute of Technology

The social side of personal robots

Event Location: 1305 Newell Simon HallBio: Dr. Cynthia Breazeal is an Associate Professor of Media Arts and Sciences at the Massachusetts Institute of Technology where she founded and directs the Personal Robots Group at the Media Lab. She is a pioneer of social robotics and Human Robot Interaction. She has authored the book “Designing Sociable [...]

RI Seminar
Kristen Grauman
Clare Boothe Luce Assistant Professor, Department of Computer Science
University of Texas at Austin

Steering Human Insight for Large-Scale Visual Learning

Event Location: 1305 Newell Simon HallBio: Kristen Grauman is a Clare Boothe Luce Assistant Professor in the Department of Computer Science at the University of Texas at Austin. Her research in computer vision and machine learning focuses on visual search and object recognition. Before joining UT-Austin in 2007, she received her Ph.D. in the EECS [...]

RI Seminar
James O'Brien
Associate Professor, Computer Science
UC Berkeley

Sparse Matrix Factorization, Mesh Modification, and Real-Time FEM Simulation

Event Location: 1305 Newell Simon HallBio: James F. O'Brien is an Associate Professor of Computer Science at the University of California, Berkeley. His primary area of interest is Computer Animation, with an emphasis on generating realistic motion using physically based simulation and motion capture techniques. He has authored numerous papers on these topics. In addition [...]

RI Seminar
Pyry Matikainen
Carnegie Mellon University

Generating Representations for Action Recognition From Coarsely Labeled and Synthetic Data

Event Location: NSH 1507Abstract: Action recognition techniques rely heavily on well chosen features, such as trajectory-based motion descriptors, to make the most of relatively scarce video training data. Typically these features must be hand-selected because the very paucity of suitably annotated data that makes the selection of features critical also restricts the degree to which [...]

RI Seminar
Dr. Harpreet S. Sawhney
Technical Director, Vision & Learning Technologies
Sarnoff Corporation, Princeton, NJ

Visual Intelligence from Video and 3D Sensor Analytics

Event Location: NSH 1305Bio: Harpreet S. Sawhney is the Technical Director of Vision & Learning Technologies at SRI-Sarnoff in Princeton, NJ. Harpreet received his Ph.D. in Computer Science (Computer Vision) in 1992 from the University of Massachusetts, Amherst. His areas of interest are Object/Event Recognition, Motion Video Analysis, 3D Modeling, Immersive Telepresence, Video Enhancement and [...]

RI Seminar
Michael Beetz
Professor
Technische Universität München

Cognition-enabled Everyday Manipulation

Event Location: NSH 3305Bio: Michael Beetz is a professor for Computer Science at the Department of Informatics of the Technische Universität Muenchen and heads the Intelligent Autonomous Systems group. He is vice coordinator of the German national cluster of excellence CoTeSys (Cognition for Technical Systems) where he is also co-coordinator of the research area “Knowledge [...]