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Interacting Physically with Robots and Virtually on the Global Digital Campus [ Abstract ] [ Video ]

Research Interests

H. Harry Asada is Ford Professor of Mechanical Engineering and Director of the Brit and Alex d'Arbeloff Laboratory for Information Systems and Technology in the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA. He is also the Head of the Control, Instrumentation, and Robotics Division of the Department.

He received the B.S., M.S., and Ph.D. degrees in precision engineering in 1973, 1975, and 1979, respectively, all from Kyoto University, Japan. He specializes in robotics, biomedical engineering, and system dynamics and control. He received the O. Hugo Schuck Best Paper Award at the American Control Council in 1985, the Outstanding Researcher Award from the ASME Dynamic Systems and Control Division in 1998, and the Best Paper Awards at the IEEE International Conference on Robotics and Automation in 1993, 1997, and 1999. He also received best journal paper awards from the Society of Instrument and Control Engineers, the Robotics Society of Japan, and the Japanese Associate of Automatic Control Engineers in 1979, 1984, 1988, 1990, and 2001. He is a Fellow of ASME.

Olivier Faugera is a graduate from the Ecole Polytechnique, France (1971). He holds a PhD in Computer Science and Electrical Engineering from the University of Utah (1976) and a Doctorate of Science from Paris VI University (1981). He is currently Research Director at INRIA (National Research Institute in Computer Science and Control Theory), where he leads the Odyssée laboratory located in Sophia-Antipolis and at the Ecole Normale Supérieure, Paris. His research interests include the application of mathematics to computer and biological vision, shape representation and recognition, the use of functional imaging (MR, MEG, EEG) for understanding brain activity and in particular visual perception.

He has published extensively in archival Journals, International Conferences, has contributed chapters to many books and is the author of "Artificial 3-D Vision" published in 1993 by MIT Press and, with Quang-Tuan Luong and Théo Papadopoulo, of "The Geometry of Multiple Images" which appeared in March 2001, also at MIT Press. He has co-edited with Nikos Paragios and Yunmei Chen "The Handbook of Mathematical Models in Computer Vision" published in 2005 by Springer.

He was an adjunct Professor from 1996 to 2001 in the Electrical Engineering and Computer Science Department of the Massachusetts Institute of Technology and a member of the AI Lab. He has served as Associate Editor for IEEE PAMI from 1987 to 1990 and as co-Editor-in-Chief of the International Journal of Computer Vision from 1991 to 2004. He is currently the Editor-in-Chief of the forthcoming Encyclopedia of Computer Vision http://refworks.springer.com/CV/.

In April 1989 he received the "Institut de France - Fondation Fiat" award from the French Academy of Sciences for his work in Vision and Robotics. In July 1998 he received the "France Telecom" award from the French Academy of Sciences for his work on Computer Vision and Geometry.

In November 1998 he was elected a member of the French Academy of Sciences and was in 2000 one of the founding members of the French Academy of Technology.

URL : http://www-sop.inria.fr/odyssee/team/Olivier.Faugeras/index.en.html

Professor Eric Grimson is the Bernard Gordon Professor of Medical Engineering in MIT's Department of Electrical Engineering and Computer Science. He is a member of MIT's Computer Science and Artificial Intelligence Laboratory, and Head of its Computer Vision Group. He also holds a joint appointment as a Lecturer on Radiology at Harvard Medical School and at Brigham and Women's Hospital.

He received a B.Sc. (Hons) in Mathematics and Physics from the University of Regina in 1975 and a Ph.D. in Mathematics from MIT in 1980.

Professor Grimson is currently the Head of the Department of Electrical Engineering and Computer Science at MIT. Prior to this position, he has served as Associate Department Head for Computer Science and as Education Officer for the Department. He is a Fellow of the IEEE and of AAAI, and a recipient of the Bose Award for Undergraduate Teaching at MIT

Professor Grimson has research interests in computer vision and in medical image analysis. Since 1975, he and his research group have pioneered state of the art methods for activity and behavior recognition, object and person recognition, image database indexing, site modeling, stereo vision, and many other areas of computer vision. Since the early 1990s, his group has been applying vision techniques in medicine for image guided surgery, disease analysis and computational anatomy.

Dr. Katsushi Ikeuchi is a Professor at the University of Tokyo. He received a Ph.D. degree in Information Engineering from the University of Tokyo in 1978. After working at the Massachusetts Institute of Technology's AI Lab for two years, Electrotechnical Lab, Japan for five years, and Carnegie Mellon University for ten years, he joined the university in 1996. His research interest spans computer vision, robotics, and computer graphics. He has received several awards, including the IEEE R&A K-S Fu Memorial Best Transaction Paper award for the paper "Toward Automatic Robot Instruction from Perception." He is a distinguished speaker of the IEEE CS society this year. He has been elected as a fellow of IEEE since 1998.

Shree K. Nayar received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University in 1990. He is currently the T. C. Chang Professor of Computer Science at Columbia University. He co-directs the Columbia Vision and Graphics Center. He also heads the Columbia Computer Vision Laboratory (CAVE), which is dedicated to the development of advanced computer vision systems. His research is focused on three areas; the creation of novel cameras, the design of physics based models for vision, and the development of algorithms for scene understanding. His work is motivated by applications in the fields of digital imaging, computer graphics, and robotics.

He has received best paper awards at ICCV 1990, ICPR 1994, CVPR 1994, ICCV 1995, CVPR 2000 and CVPR 2004. He is the recipient of the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995) and the Columbia Great Teacher Award (2006). He has published over 100 scientific papers and has been awarded several patents for inventions related to vision and robotics.

Tomaso A. Poggio, is the Eugene McDermott Professor at the Department of Brain and Cognitive Sciences; Co-Director, Center for Biological and Computational Learning; Member for the last 25 years of the Computer Science and Artificial Intelligence Laboratory at MIT; and, since 2000, member of the faculty of the McGovern Institute for Brain Research. He is author or co-author of several papers in the fields of learning theory, computer science, computational neuroscience, and nonlinear systems theory; and he belongs to the editorial board of several scientific journals. He is an honorary member of the Neuroscience Research Program, a member of the American Academy of Arts and Sciences and a Founding Fellow of AAAI. He received several awards such as the Otto-Hahn-Medaille Award of the Max-Planck-Society, the Max Planck Research Award (with M. Fahle), from the Alexander von Humboldt Foundation, the MIT 50K Entrepreneurship Competition Award, the Laurea Honoris Causa in Ingegneria Informatica for the Bicentenario dell'Invenzione della Pila from the University of Pavia and the 2003 Gabor Award.

His current research is focused on the development of the theory and on the application of novel learning techniques to computer vision, bioinformatics, computer graphics and especially neuroscience. His work in the last decade has been motivated by the belief that the problem of learning is the gateway to making intelligent machines and to understanding how the brain works. Research on learning in his group follows three basic directions: mathematics of learning theory, engineering applications (in computer vision, computer graphics, bioinformatics, intelligent search engines and artificial markets) and neuroscience of learning, presently focused on the problem of how the brain learns to see – and in particular to recognize and represent objects in higher areas of visual cortex. Earlier Prof. Poggio had worked with W. Reichardt in Tuebingen at the Max Planck Institut fuer Biologische Kybernetik on the visual system of the fly and with D. Marr at MIT on computational analysis of human and machine vision. He was responsible for the Vision Machine project at the AI Lab. Professor Poggio received his doctorate in theoretical physics from the University of Genoa in 1970, had a tenured research position at the Max Planck Institute from 1971 to 1981 when he became Professor at MIT.

Dr. Shum is a Distinguished Engineer of Microsoft Corporation. He received his Ph.D. in robotics from the School of Computer Science, Carnegie Mellon University. After he graduated, he worked as a researcher at Microsoft Research Redmond. In 1999, he moved to Microsoft Research Asia (Beijing, China) where he is currently the Managing Director.

His research interests include computer vision, graphics, human computer interaction, statistical learning and robotics. He is on the editorial boards for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), and International Journal of Computer Vision (IJCV). He is the Program Co-Chair of Eleventh International Conference on Computer Vision (ICCV 2007 Brazil). He is a Fellow of IEEE and a Fellow of ACM.

Russell H. Taylor received a B.E.S. degree from The Johns Hopkins University in 1970 and a Ph.D. in Computer Science from Stanford in 1976. He joined IBM Research in 1976, where he developed the AML robot language. Following a two-year assignment in Boca Raton, he managed robotics and automation technology research activities at IBM Research from 1982 until returning to full time technical work in late 1988. From March 1990 to September 1995, he was manager of Computer Assisted Surgery. In September 1995, Dr. Taylor moved to Johns Hopkins University as a Professor of Computer Science, with joint appointments in Radiology, Surgery and Mechanical Engineering He is also Director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology. Dr. Taylor has a long history of research in computer-integrated surgery and related fields. In 1988-9, he led the team that developed the first prototype for the ROBODOC© system for robotic hip replacement surgery and is currently on the Scientific Advisory Board of Integrated Surgical Systems. At IBM he subsequently developed novel systems for computer-assisted craniofacial surgery and robotically-augmented endoscopic surgery. At Johns Hopkins, he has worked on all aspects of CIS systems, including modeling, registration, and robotics in areas including percutaneous local therapy, microsurgery, and computer-assisted bone cancer surgery. He is Editor Emeritus of the IEEE Transactions on Robotics and Automation, a Fellow of the IEEE and the AIMBE, and a member of various honorary societies, panels, editorial boards, and program committees. In February, 2000 he received the Maurice Müller award for excellence in computer-assisted orthopaedic surgery.