Reconstructive Transplantation – Evolution, Experience and Emerging Insights
Event Location: NSH3305Bio: Dr. Gorantla is Associate Professor of Surgery and Administrative Medical Director of the Pittsburgh Reconstructive Transplant Program in the Division of Plastic Surgery at the University of Pittsburgh. Dr. Gorantla currently oversees, administers, directs and coordinates research and clinical programs in clinical hand, face and vascularizaed composite transplantation at UPMC, the University [...]
Differentially Constrained Motion Planning with State Lattice Motion Primitives
Event Location: GHC 4405Abstract: Robot motion planning with differential constraints has received a great deal of attention in the last few decades, yet it still remains a challenging problem. Among a number of reasons, three stand out. First, the differential constraints that most physical robots exhibit render the coupling between the control and state spaces [...]
Manipulating Wild Bodies Using Gentle Guidance
Event Location: NSH 1305Bio: Steven M. LaValle is Professor of Computer Science in the Department of Computer Science at the University of Illinois. He received his Ph.D. in Electrical Engineering from the University of Illinois in 1995. From 1995-1997 he was a postdoctoral researcher and lecturer in the Department of Computer Science at Stanford University. [...]
Adaptive Image Similarity: The Sharpening Match
Event Location: NSH 1305Bio: Erik G. Learned-Miller (previously Erik G. Miller) is an Associate Professor of Computer Science at the University of Massachusetts, Amherst, where he joined the faculty in 2004. His research focusses on computer vision and machine learning. He spent two years as a post-doctoral researcher at the University of California, Berkeley, in [...]
Automated Estimation of Grapevine Yield and Canopy Size for Precision Vineyard Management
Event Location: GHC2109Bio: Stephen is a Project Scientist at the Robotics Institute and was a PostDoc at the RI from 2008-2010. Prior to arriving at the RI he completed his PhD in Australia conducting the research jointly at the Commonwealth Science and Industry Research Organisation and the University of Queensland. He has worked on a [...]
Robustness by Necessity: Zero-Downtime Demos, Competitions, and Live Performances
Event Location: NSH3305Bio: Raffaello D'Andrea is professor of Dynamic Systems and Control at the Swiss Federal Institute of Technology in Zurich. He also is technical co-founder and chief technical advisor for Kiva Systems, a company that develops adaptive and self-configuring warehouse automation systems using hundreds of networked, mobile robots. He was the faculty advisor and [...]
Efficient Human Pose Estimation with Data-Dependent Cliques
Event Location: NSH 1305Bio: Ben Sapp is Ph.D. candidate in Computer and Information Science at the University of Pennsylvania, advised by Ben Taskar. His work uses machine learning to tackle computer vision problems, with a focus on graphical models to solve human pose estimation in single 2-D images or video - specifically, studying how to [...]
From Robograd to Rockstar™: Lessons in Transforming from a Naive Academic to a Stressed Out Entrepreneur (& Why You’d Have To Be Insane to Do It)
Event Location: NSH 1305Bio: In 1996, Dr. Davis earned his PhD in Robotics from Carnegie Mellon and set out to work on AI and virtual characters in video games. After working at Activision from 1996 to 1999 as Technical Director, Dr. Davis founded Mad Doc Software, and independent game developer for PCs and gaming consoles. [...]
Data-Driven Crowd Analysis in Videos
Event Location: NSH 1305Bio: Mikel Rodriguez is a researcher at MITRE. He was a post-doctoral fellow at the INRIA Willow team at the Département d'Informatique of Ecole Normale Supérieure in Paris, France. Mikel completed his PhD in Computer Science at UCF in 2010. His research focuses mainly on video interpretation which includes tracking, visual motion [...]