Invited Talks

Frank Chongwoo Park
Seoul National University
Wednesday July 12, 11 AM

Frank Park received his B.S. in EECS from MIT in 1985, and Ph.D. in applied mathematics from Harvard University in 1991. He joined the mechanical and aerospace engineering faculty at the University of California, Irvine in 1991, and since 1995 he has been professor of mechanical and aerospace engineering at Seoul National University, where he is currently serving as department chair since June 2017. His research interests are in robot mechanics, planning and control, vision and image processing, machine learning, and related areas of applied mathematics. He has been an IEEE Robotics and Automation Society Distinguished Lecturer, and received best paper awards for his work on visual tracking and parallel robot design. He has served on the editorial boards of the Springer Handbook of Robotics, Springer Advanced Tracts in Robotics (STAR), Robotica, and the ASME Journal of Mechanisms and Robotics. He has held adjunct faculty positions at the NYU Courant Institute and the Interactive Computing Department at Georgia Tech, and is currently adjunct professor at the Robotics Institute at HKUST. He is a fellow of the IEEE, current editor-in-chief of the IEEE Transactions on Robotics, developer of the EDX course Robot Mechanics and Control I, II, and co-author (with Kevin Lynch) of Modern Robotics: Mechanics, Planning and Control (2017 Cambridge University Press).

Dieter Fox
University of Washington
Thursday July 13, 11 AM

Dieter Fox is a Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he heads the UW Robotics and State Estimation Lab. From 2009 to 2011, he was also Director of the Intel Research Labs Seattle. Dieter obtained his Ph.D. from the University of Bonn, Germany. His research is in robotics and artificial intelligence with a focus on state estimation and perception applied to various problems in robotics and activity recognition. He has published more than 170 technical papers and is the co-author of the textbook “Probabilistic Robotics.” He is a Fellow of the IEEE and the AAAI, and he received several best paper awards at major robotics, AI, and computer vision conferences. He was an editor of the IEEE Transactions on Robotics, program co-chair of the 2008 AAAI Conference on Artificial Intelligence, and program chair of the 2013 Robotics: Science and Systems conference.

Martial Hebert
Carnegie Mellon University
Friday July 14, 11 AM

Martial Hebert is a Professor of Robotics at Carnegie Mellon University and Director of the Robotics Institute, which he joined in 1984. His interests include computer vision, in particular recognition in images and video data, model building and object recognition from 3D data, and perception for mobile robots and for intelligent vehicles. His group has developed approaches for object recognition and scene analysis in images, 3D point clouds, and video sequences. In the area of machine perception for robotics, his group has developed techniques for people detection, tracking, and prediction, and for understanding the environment of ground vehicles from sensor data. He has served on the editorial boards of the IEEE Transactions on Robotics and Automation, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the International Journal of Computer Vision (for which he currently serves as Editor-in-Chief).