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Presenter: Zhengyou Zhang (Homepage)
Monday May 19, 2014 from 1:30pm to 2:30pm
* Alternate Location: Levine 307*
We describe a system that
augments touch input with visual understanding of the user to improve
interaction with a large touch-sensitive display. A commodity color plus depth
sensor such as Microsoft Kinect adds the visual modality and enables new
interactions beyond touch. Through visual analysis, the system understands
where the user is, who the user is, and what the user is doing even before the
user touches the display. Such information is used to enhance interaction in multiple
Zhengyou Zhang received the B.S. degree in electronic engineering from Zhejiang University, Hangzhou, China, in 1985, the M.S. degree in computer science from the University of Nancy, Nancy, France, in 1987, the Ph.D. degree in computer science from the University of Paris XI, Paris, France, in 1990, and the Doctorate of Science (Habilitation à diriger des recherches) from the University of Paris XI, Paris, France, in 1994.
He is a Principal Researcher with Microsoft Research, Redmond, WA, USA, and the Research Manager of the “Multimedia, Interaction, and Communication” group. Before joining Microsoft Research in March 1998, he was with INRIA (French National Institute for Research in Computer Science and Control), France, for 11 years and was a Senior Research Scientist from 1991. In 1996-1997, he spent a one-year sabbatical as an Invited Researcher with the Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan. He is also an Affiliate Professor with the University of Washington, Seattle, WA, USA, and an Adjunct Chair Professor with Zhejiang University, Hangzhou, China. He has published over 200 papers in refereed international journals and conferences, and has coauthored the following books: 3-D Dynamic Scene Analysis: A Stereo Based Approach (Springer-Verlag, 1992); Epipolar Geometry in Stereo, Motion and Object Recognition (Kluwer, 1996); Computer Vision (Chinese Academy of Sciences, 1998, 2003, in Chinese); Face Detection and Adaptation (Morgan and Claypool, 2010); and Face Geometry and Appearance Modeling (Cambridge University Press, 2011). His 1999 paper on camera calibration won the Helmholtz Test of Time Award at ICCV 2013. He has given a number of keynotes in international conferences and invited talks in universities.
Dr. Zhang is an IEEE Fellow, an ACM Fellow, the Founding Editor-in-Chief of the IEEE Transactions on Autonomous Mental Development, an Associate Editor of the International Journal of Computer Vision, an Associate Editor of Machine Vision and Applications, and an Area Editor of the Journal of Computer Science and Technology. He served as Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence from 2000 to 2004, an Associate Editor of the IEEE Transactions on Multimedia from 2004 to 2009, an Associate Editor of the International Journal of Pattern Recognition and Artificial Intelligence from 1997 to 2009, among others. He served as Area Chair, Program Chair, or General Chair of a number of international conferences, including recently a Program Co-Chair of the International Conference on Multimedia and Expo (ICME), July 2010, a Program Co-Chair of the ACM International Conference on Multimedia (ACM MM), October 2010, a Program Co-Chair of the ACM International Conference on Multimodal Interfaces (ICMI), November 2010, and a General Co-Chair of the IEEE International Workshop on Multimedia Signal Processing (MMSP), October 2011 and September 2014. He served as a founding Chair of a new track “Technical Briefs” of the ACM SIGGRAPH Asia Conference, Nov. 28 – Dec. 1st, 2012.
Presenter: Dr. Andrzej Banaszuk, Dr. Jason Derenick, Dr. Alberto Speranzon (Homepage)
Friday May 16, 2014 from 11:00am to 12:00pm
* Alternate Location: Levine 307*
We will present UTRC’s research initiative in Autonomous and Intelligent Systems with an emphasis on complex human/machine intelligent systems including unmanned rotorcraft. The research, conducted by a diverse team of researchers in robotics, dynamical systems, control, applied mathematics, computer vision, and computer science (in partnership with several leading universities including CMU, MIT, UPenn, and Caltech) includes:
Andrzej Banaszuk is a Program Leader of Sikorsky Program Office at United Technologies Research Center. Since joining UTRC in 1997, he has conducted research in analysis, design, and control of dynamical systems applied to jet engines, rotorcraft, electric power networks, and buildings. Since 2000 he has led collaborative multi-university research teams in the area of flow control, control of combustion instabilities, robust design of large uncertain dynamic networks, and autonomy. He is an author of 44 journal papers, 71 conference papers, and 9 patents. From 1999 to 2002, he was an Associate Editor of IEEE Transactions of Controls Systems Technology. He was appointed to serve on the Board of Governors of IEEE Control Systems Society in 2004. For his work on active and passive control of flow instabilities in jet engines he received IEEE Controls Systems Technology Award in 2007. He became an IEEE Fellow in 2011. He holds Ph.D. in EE from Warsaw University of Technology and Ph.D. in Mathematics from Georgia Institute of Technology.
Jason Derenick is currently a Staff Research Engineer/Scientist at United Technologies Research Center (UTRC) where he is as a technical lead for the UTRC/Sikorsky Aircraft (SAC) Joint Program focused upon fielding autonomous rotorcraft. From 2009-2011, he served as a Post-doctoral Research Fellow in the GRASP Lab at UPenn as a member of the Multi-Robots Systems Laboratory where he worked upon MAST-CTA. He received the Ph.D. (2009) and M.Sc. (2005) in Computer Science from Lehigh University. He is co-recipient of the 2013 George Mead Medallion, which is the highest recognition given by United Technologies Corporation for contributions in engineering. Among other achievements, his dissertation was awarded the 2009 Elizabeth V. Stout Dissertation Award in the P.C. Rossin College of Engineering and Applied Sciences at Lehigh. He was also a key member of the Ben Franklin Racing Team (joining UPenn, Lehigh and Lockheed), whose entry in the 2007 DARPA Urban Challenge finished 4th place. His research interests include: scalable optimization for cooperative robotic systems, topological methods, and real-time estimation and perception algorithms for field robotics.
Alberto Speranzon received the ‘‘Laurea’’ degree in computer engineering from University of Padova, Italy in 2000, the Tech. Lic. and Ph.D. in automatic control from the School of Electrical Engineering, Royal Institute of Technology, Stockholm, Sweden in 2004 and 2006, respectively. Since 2008 he is a Research Scientist at United Technologies Research Center, in East Harford, CT, USA. At UTRC, Alberto served as project manager and principal investigator for DARPA's ASPN program on novel methods for distributed localization of multiple vehicles in GPS degraded/denied environments combining adaptive filtering, graph theoretical and algebraic topological methods. His research interests are mainly in the area of distributed control, estimation and optimization, with particular focus on multi-vehicle systems and wireless sensor networks. Alberto’s received the Outstanding Achievement Award in 2009 from United Technologies Research Center. Before joining UTRC, between October 2006 and September 2008, he was a Marie Curie Research Fellow at Unilever R&D, Port Sunlight, UK. During 2006-2008 he was a regular visitor at University of California at Berkeley, USA working on decentralized estimation over sensor networks.
Presenter: Pratap Tokekar (Homepage)
Tuesday May 27, 2014 from 4:00pm to 5:00pm
* Alternate Location: Levine 307*
Data collected from the environment is becoming increasingly important
for studying complex phenomena. Robotic sensing systems will
revolutionize this area by enabling access to data gathered at
unprecedented spatio-temporal scales. Environmental science
applications, in turn, motivate challenging robotics research problems.
In this talk, I will present new algorithms for sensing planning
problems motivated by these applications, and the design of robotic
monitoring systems developed for two real-world applications.
Pratap Tokekar is a Ph.D. candidate in the Department of Computer Science and Engineering at the University of Minnesota, advised by Volkan Isler. He obtained his Bachelor of Technology degree in Electronics and Telecommunication from College of Engineering Pune, India in 2008. His research interests include algorithmic and field robotics, sensor networks, and computational geometry.
Tuesday April 29, 2014
In this four-part multimedia series, produced by Penn’s Office of University Communications, we explore robotics at Penn in four ways: through the technology, history, education, and real-world applications. Read about technology on April 29, history on May 1, education on May 6, and real-world applications on May 8. Check it out!
Tuesday April 15, 2014
Tuesday April 22, 2014
Presenter: Anthony Hoogs (Homepage)
Tuesday April 22, 2014 from 2:00pm to 3:00pm
* Alternate Location: Towne 337*
The scale of video data
continues to grow exponentially, including city-scale wide-area
aerial video showing hundreds or thousands of simultaneous movers.
Extracting the most interesting, salient content from this type of
video is of increasing importance as the data volume grows while
the vast majority of events are not of interest. However,
traditional methods often fail because of low resolution and low
frame rates in this domain.
Dr. Anthony Hoogs is the Senior Director of Computer Vision at Kitware, a small software R&D firm based on open source. Dr. Hoogs joined Kitware in August 2007 and founded the Computer Vision group, which now has 25 members including 12 PhDs. He has initiated and led more than two dozen contracts in video and motion analysis, involving more than 15 universities including the University of Pennsylvania. At GE Global Research (1998-2007), Dr. Hoogs led a team of researchers in video and imagery analysis on projects sponsored by the US Government, Lockheed Martin and NBC Universal. For more than two decades, he has supervised and performed research in various areas of computer vision including: event, activity and behavior recognition; motion pattern learning and anomaly detection; tracking; visual semantics; image segmentation; object recognition; and content-based retrieval. He has published more than 70 papers in computer vision, has served as Workshops Chair, Corporate Relations Chair and Area Chair for CVPR, and is on the steering committee for the Winter conference on Applications of Computer Vision (WACV). Dr. Hoogs received a Ph.D. in Computer and Information Science from the University of Pennsylvania in 1998, in the GRASP Lab under Dr. Ruzena Bajcsy; an M.S. from the University of Illinois at Urbana-Champaign in 1991; and a B.A. from Amherst College in 1989.
Wednesday April 2, 2014
Presenter: Masaki Ogura (Homepage)
Monday April 7, 2014 from 2:00pm to 3:00pm
* Alternate Location: Levine 307*
The talk presents my recent research on the stability analysis of switched systems, which are a class of dynamical systems whose dynamics can abruptly change. Examples include the control of systems over unreliable networks or with a failure-prone controller. In this talk I will discuss a fundamental property called stability of switched linear systems. I will in particular focus on the case when switching is modeled by non-traditional stochastic processes, in particular, by non-Markovian processes.
Masaki Ogura is a Ph.D. candidate in applied mathematics at Texas Tech University. His primary research area is systems and control theory and his research interests include switching systems, infinite-dimensional systems, and signal processing. He is presently working on an application of switching systems to reliability theory. He obtained his Master's degree in Informatics from Kyoto University, Japan, in 2009.