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Presenter: Edwin Olson (Homepage)
Friday February 25, 2011 from 11:00am to 12:00pm
MAGIC 2010 competition asked teams of robots to collaboratively perform
reconnaissance missions in a 250,000m^2 urban indoor/outdoor
environment: explore the area, build a map, and recognize interesting
objects--- with as little human intervention as possible.
Edwin Olson is an assistant professor at the University of Michigan with research interests in robot autonomy, perception, and learning. In 2010, he led Team Michigan to first place in the MAGIC 2010 robotics competition. He received his PhD, M.Eng., and B.S. from MIT, where he was also a core member of MIT's DARPA Urban Challenge team.
Presenter: Thomas Henderson (Homepage)
Friday April 29, 2011 from 11:00am to 12:00pm
* Alternate Location: Berger Auditorium (Skirkanich Hall 013)*
A wide variety of funding opportunities in robotics exist at the National Science Foundation, and they will be discussed from the viewpoint of the Computer and Information Science and Engineering Directorate. This ranges from core programs, to cross-cutting programs (e.g., Smart Health and Wellbeing), closely related programs (e.g., Cyber-Physical Systems), and international programs (e.g., Partnerships in International Research and Education).
Thomas C. Henderson received his BS in Math with Honors from Louisiana State University in 1973 and his PhD in Computer Science from the University of Texas at Austin in 1979. He is currently a rotator (IPA) at the National Science Foundation (since August 2010), and a full Professor in the School of Computing at the University of Utah. He has been at Utah since 1982, and was a visiting professor at DLR in Germany in 1980, and at INRIA in France in 1981 and 1987, and at the University of Karlsruhe, Germany in 2003. Prof. Henderson was chairman of the Department of Computer Science at Utah from 1991-1997, and was the founding Director of the School of Computing from 2000-2003.
Prof. Henderson is the author of Discrete Relaxation Techniques (University of Oxford Press), and editor of Traditional and Non-Traditional Robotic Sensors (Springer-Verlag); he served for 15 years as Co-Editor-in-Chief of the Journal of Robotics and Autonomous Systems and was an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Robotics and Automation. His research interests include autonomous agents, robotics and computer vision, and his ultimate goal is to help realize functional androids. He has produced over 250 scholarly publications, and has been principal investigator on many significant research projects. Prof. Henderson is a Fellow of the IEEE, and received the Governor's Medal for Science and Technology in 2000.
Presenter: Stefano Soatto (Homepage)
Friday April 22, 2011 from 11:00am to 12:00pm
I will discuss a notion of Information for the purpose of decision and
control tasks, as opposed to data transmission and storage tasks
implicit in Communication Theory a' la Wiener-Shannon. It is rooted in
ideas of J. J. Gibson, and stands in contrast to entropy, complexity or
coding length of the data regardless of the use, and regardless of
Professor Soatto received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 1996; he joined UCLA in 2000 after being Assistant and then Associate Professor of Electrical and Biomedical Engineering at Washington University, Research Associate in Applied Sciences at Harvard University, and Assistant Professor in Mathematics and Computer Science at the University of Udine, Italy. He received his D.Ing. degree (highest honors) from the University of Padova- Italy in 1992. Dr. Soatto is the recipient of the David Marr Prize (with Y. Ma, J. Kosecka and S. Sastry of U.C. Berkeley) for work on Euclidean reconstruction and reprojection up to subgroups. He also received the Siemens Prize with the Outstanding Paper Award from the IEEE Computer Society for his work on optimal structure from motion (with R. Brockett of Harvard). He received the National Science Foundation Career Award and the Okawa Foundation Grant. He is a Member of the Editorial Board of the International Journal of Computer Vision (IJCV), the International Journal of Mathematical Imaging and Vision (JMIV) and Foundations and Trends in Computer Graphics and Vision. See http://vision.ucla.edu for more details.
Presenter: Deborah Gordon (Homepage)
Friday March 25, 2011 from 11:00am to 12:00pm
Ant colonies operate without central control
and resemble large distributed systems. An ant’s behavior depends on its recent
experience of brief interactions with other ants. In the course of a brief
antennal contact, one ant can assess the task of the other using odor cues. A
long-term study of the behavior and ecology of harvester ants in the Arizona
desert shows how colonies regulate foraging to balance the tradeoff imposed by
spending water, while foraging in the desert sun, to obtain water, which is
metaboized from seeds.
Deborah M Gordon is a Professor in the Department of Biology at Stanford. Her research on the collective organization of ant colonies includes studies of the long-term demography and behavior of harvester ant colonies in Arizona; the factors that determine the spread of the invasive Argentine ant in northern California; and the ecology of ant-plant mutualisms in tropical forests in Central America. She is the author of two books, Ants at Work (2000) and Ant Encounters:Interaction Networks and Colony Behavior (2010). She has been awarded fellowships from the Guggenheim Foundation and the Center for Advanced Study in Behavioral Sciences. She is interested in analogies between ant colonies and other distributed networks, and has given talks at TED, Xerox Park, Google Tech, Dagstuhl seminar on distributed algorithms, and at robotics and artificial intelligence conferences.
Presenter: Jorge Cortes (Homepage)
Friday April 1, 2011 from 11:00am to 12:00pm
This talk considers optimal deployment problems for networks of autonomous robotic sensors and examines their connection with spatial estimation. Given a spatial random field over a region of interest, robotic sensors can improve the efficiency of data collection, adapt to changes in the environment, and provide a robust response to individual failures. We illustrate ways in which systems and control can help us design coordination algorithms to cooperatively optimize data collection, minimize the uncertainty of the estimation, account for individual failures in communication, a
Jorge Cortes is an Associate Professor with the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He received the Licenciatura degree in mathematics from the Universidad de Zaragoza, Spain, in 1997, and the Ph.D. degree in engineering mathematics from the Universidad Carlos III de Madrid, Spain, in 2001. He held postdoctoral positions at the University of Twente, The Netherlands, and at the University of Illinois at Urbana-Champaign, USA. He was an Assistant Professor with the Department of Applied Mathematics and Statistics at the University of California, Santa Cruz from 2004 to 2007. He is the author of "Geometric, Control and Numerical Aspects of Nonholonomic Systems" (New York: Springer-Verlag, 2002) and co-author of "Distributed Control of Robotic Networks" (Princeton: Princeton University Press, 2009). He received a NSF CAREER award in 2006 and was the recipient of the 2006 Spanish Society of Applied Mathematics Young Researcher Prize. He has co-authored papers that have won the 2008 IEEE Control Systems Outstanding Paper Award and the 2009 SIAM Review SIGEST selection from SIAM Journal on Control and Optimization. He is a IEEE Control Systems Society Distinguished Lecturer (2010-2012).
Presenter: Zhengyou Zhang (Homepage)
Friday February 11, 2011 from 11:00am to 12:00pm
the launch of Microsoft Kinect sensors for Xbox 360, depth cameras are becoming
affordable for the vision and robotics communities because the mass game market
drives the cost down. This could present a revolution in our research. Previously
very difficult vision tasks with video cameras become easier, such as
foreground-background separation. However, there still exist many challenges.
In this talk, I will present some research projects conducted at Microsoft
Research, related to human activity understanding with
Zhengyou Zhang is a Principal Researcher with Microsoft Research, Redmond, WA, USA, and manages the multimodal collaboration research team. 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 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). He has given a number of keynotes in international conferences.
Dr. Zhang is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), the Founding Editor-in-Chief of the IEEE Transactions on Autonomous Mental Development, an Associate Editor of the International Journal of Computer Vision, and an Associate Editor of Machine Vision and Applications. 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, among others. He has been chairs or members of the program committees for numerous international conferences in the areas of autonomous mental development, computer vision, signal processing, multimedia, and human-computer interaction. More information is available at http://research.microsoft.com/~zhang/
Presenter: Richard Voyles (Homepage)
Friday March 4, 2011 from 11:00am to 12:00pm
Robotics and Cyber-Physical Systems are ushering in a new age of
engineering design with new techniques and new materials. The old way
of design in which we assume decoupled, low-order, block-diagonal
models is breaking down at all levels and all scales. This presents numerous problems as our ad
hoc design methods are not able to properly account for, test and
validate systems of greatly increasing complexity.
Dr. Voyles received the B.S. in Electrical Engineering from Purdue University in 1983, the M.S. in Manufacturing Systems Engineering from the Department of Mechanical Engineering at Stanford University in 1989, and the Ph.D. in Robotics from the School of Computer Science at Carnegie Mellon University in 1997. He is currently a Program Director in the Cyber Physical Systems program and Major Research Instrumentation program at the National Science Foundation and a Senior Member of the IEEE. On leave from the University of Denver, Dr. Voyles is an Associate Professor in the Department of Electrical and Computer Engineering. Previously, he was Associate Professor of Computer Science at the University of Minnesota and a Site Director of the NSF Safety, Security, and Rescue Research Center. Dr.Voyles' research interests are in the areas of cyber physical systems, robotics and artificial intelligence. Specifically, he is interested in the development of small, resource-constrained robots and robot teams for urban search and rescue and surveillance. Dr. Voyles has additional expertise in sensors and sensor calibration, particularly haptic and force sensors, manipulation and real-time control. Dr. Voyles' industrial experience includes Dart Controls, IBM Corp., Integrated Systems, Inc., and Avanti Optics as well as three start-up companies. He has also served on the boards of various start-ups and non-profit groups, including The Works, a hands-on, minds-on engineering discovery center.
Presenter: Pedro Felzenszwalb (Homepage)
Friday February 18, 2011 from 11:00am to 12:00pm
Object detection is one of the fundamental challenges in computer
vision. In this talk I will consider the problem of detecting objects
from a generic category, such as people or cars, in static images. This
is a difficult problem because objects in such categories can vary
greatly in appearance. For example, people wear different clothes and
take a variety of poses while cars come in various shapes and colors.
We have built an object detection system that addresses this challenge
using mixtures of deformable part models.
Pedro F. Felzenszwalb is an Associate Professor at the University of Chicago. He received his PhD from MIT in 2003. His main research interests are in computer vision, geometric algorithms and artificial intelligence. His work has been supported by the National Science Foundation, including a CAREER award received in 2008. He is currently serving as a program chair for the 2011 IEEE CVPR. He is an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and an Editorial Board Member for the International Journal of Computer Vision. In 2010 he received the IEEE CVPR Longuet-Higgins Prize for fundamental contributions to computer vision and the PASCAL Visual Object Challenge "Lifetime Achievement" prize.
Presenter: Louis Whitcomb (Homepage)
Friday February 4, 2011 from 11:00am to 12:00pm
This talk reports a brief overview of
the Nereus vehicle design, and
reviews the initial results of the dives conducted on these expeditions,
including two dives to more than 10,900 m depth. In May/June 2009 Nereus successfully performed scientific observation and sampling
operations at hadal depths of 10,903 m on a NSF sponsored expedition to the Challenger Deep
of the Mariana Trench – the deepest place on Earth. In October 2009 the vehicle successfully
performed autonomous survey and tel
Louis L. Whitcomb completed his Ph.D. degree at Yale University in 1992. His research focuses on the dynamics and control of robot systems – including industrial, medical, and underwater robots. Whitcomb is a principal investigator of the Nereus Project. He is founding Director of the JHU Laboratory for Computational Sensing and Robotics. Whitcomb is a Professor in the Department of Mechanical Engineering, with secondary appointment in the Department of Computer Science, at the Johns Hopkins University’s Whiting School of Engineering, and Adjunct Scientist, Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution.
Presenter: Amit Singer (Homepage)
Friday April 8, 2011 from 11:00am to 12:00pm
* Alternate Location: Levine 307 (3330 Walnut Street)*
Motivated by problems in structural biology, specifically cryo-electron microscopy, we introduce vector diffusion maps (VDM), a new mathematical framework for organizing and analyzing high dimensional data sets, images and shapes. VDM is a mathematical and algorithmic generalization of diffusion maps and other non-linear dimensionality reduction methods, such as LLE, ISOMAP and Laplacian eigenmaps. While existing methods are either directly or indirectly related to the heat kernel for functions over the data, VDM is based on the heat kernel for vector fields.
Amit Singer is an Associate Professor of Mathematics and a member of the Executive Committee of the Program in Applied and Computational Mathematics (PACM) at Princeton University. He joint Princeton as an Assistant Professor in 2008. From 2005 to 2008 he was a Gibbs Assistant Professor in Applied Mathematics at the Department of Mathematics, Yale University. Singer received the BSc degree in Physics and Mathematics and the PhD degree in Applied Mathematics from Tel Aviv University (Israel), in 1997 and 2005, respectively. He served in the Israeli Defense Forces during 1997-2003. He was awarded the Alfred P. Sloan Research Fellowship (2010) and the Haim Nessyahu Prize for Best PhD in Mathematics in Israel (2007). His current research in applied mathematics focuses on problems of massive data analysis and structural biology.