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 [...]
Lessons Learned in Starting a Tech Company in Silicon Valley
Event Location: NSH 1305Bio: Matt Swanson graduated with a M.S. from the Robotics Institute in May 2010. Immediately after graduating, Matt founded SpeakerText with two cofounders. SpeakerText uses crowdsourced labor to create transcripts for online videos which enables video publishers to get their content indexed in search engines. Over the course of one year, Matt [...]
Design and Control of a Flapping Flight Micro Aerial Vehicle
Event Location: NSH 3002Abstract: Miniature flapping flight systems hold great promise in matching the agility of their natural counterparts, bees, flies, and hummingbirds. Characterized by reciprocating wing motion, unsteady aerodynamics, and the ability to hover, insect-like flapping flight presents an interesting locomotion strategy capable of functioning at small size scales and is still a current [...]