- About Us
- Seminars & Events
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.
Presenter: Hyun Soo Park (Homepage)
Friday March 14, 2014 from 1:30pm to 2:30pm
* Alternate Location: Levine 512*
A social camera is a camera carried or worn by a member of a social group, (e.g., a smartphone camera, a hand-held camcorder, or a wearable camera). These cameras are becoming increasingly immersed in our social lives and closely capture our social activities. In this talk, I argue that social cameras are the ideal sensors for social scene understanding, as they inherit social signals such as the gaze behavior of the people carrying them. I will present a computational representation for social scene understanding from social cameras.
Hyun Soo Park is a Ph.D. student in Mechanical Engineering at Carnegie Mellon University under the supervision of Prof. Yaser Sheikh. He is interested in computer vision, graphics, and robotics. The main focus of his research is developing a computational basis for social scene understanding. He interned at Disney Research, Pittsburgh (2011) and Mircosoft Research, Redmond (2013). He received his bachelor’s degree from POSTECH, Korea in 2007, and master’s degree from Carnegie Mellon University in 2009.
Presenter: Marty Golubitsky (Homepage)
Friday March 28, 2014 from 2:00pm to 3:00pm
* Alternate Location: Towne 337*
This talk will discuss previous work on quadrupedal gaits and recent work on a generalized model for binocular rivalry proposed by Hugh Wilson. Both applications show how rigid phase-shift synchrony in periodic solutions of coupled systems of differential equations can help understand high level collective behavior in the nervous system. For gaits the symmetries predict unexpected gaits and for binocular rivalry the symmetries predict unexpected percepts.
Martin Golubitsky is Distinguished Professor of Natural and Mathematical Sciences at the Ohio State University, where he serves as Director of the Mathematical Biosciences Institute. He received his PhD in Mathematics from M.I.T. in 1970 and has been Professor of Mathematics at Arizona State University (1979-83) and Cullen Distinguished Professor of Mathematics at the University of Houston (1983-2008). Dr. Golubitsky works in the fields of nonlinear dynamics and bifurcation theory studying the role of symmetry in the formation of patterns in physical systems and the role of network architecture in the dynamics of coupled systems. His recent research focuses on some mathematical aspects of biological applications: animal gaits, the visual cortex, the auditory system, and coupled systems. Dr. Golubitsky is a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science (AAAS), the American Mathematical Society (AMS), and the Society for Industrial and Applied Mathematics (SIAM). He is also the 1997 recipient of the University of Houston Esther Farfel Award, the 2001 corecipient of the Ferran Sunyer i Balaguer Prize (for The Symmetry Perspective) and the recipient of the 2009 Moser Lecture Prize of the SIAM Dynamical Systems Activity Group. Dr. Golubitsky was the founding Editor-in-Chief of the SIAM Journal on Applied Dynamical Systems and has served as President of SIAM (2005-06).