Comprehensive Human State Modeling and Its Applications
Event Location: NSH 1507Bio: Ajay Divakaran, Ph.D., is a Program Director and leads the Vision and Multi-Sensor group in SRI International’s Vision and Learning Laboratory. Divakaran is currently the principal investigator for a number of SRI research projects. His work includes multimodal modeling and analysis of affective, cognitive, and physiological aspects of human behavior, interactive [...]
Enabling High Speed Autonomous Flights
Event Location: NSH 1507Bio: Sankalp Arora is a Ph.D. student in the Robotics Institute advised by Sebastian Scherer. He received his B.E. in Electronics and Communication Engineering from the University of Delhi in India in 2010. His current research focuses on exploration senor and path planning for aerial vehicles. He was research staff at FRC [...]
Supervised Descent Method
Event Location: GHC 2109Abstract: In this thesis, I aim to present a new perspective on looking at classical problems in Computer Vision. Instead of spending efforts on finding novel objective functions and improving existing optimization algorithms, I aim to demonstrate that formulating those problems as policy learning yields more flexible and efficient algorithms. Our recently [...]
Grounding text, maps, and images to 3D geometry
Event Location: NSH 1305Bio: Bryan Russell is a Research Scientist in the Creative Technologies Lab at Adobe Research in San Francisco. He received his Ph.D. from MIT in the Computer Science and Artificial Intelligence Laboratory in 2008 under the supervision of Professors William T. Freeman and Antonio Torralba. He was a post-doctoral fellow from 2008-2010 [...]
Separation Anxiety: Sending Large Robots to Work on Their Own
Event Location: GHC 6115Bio: Sarjoun graduated from the RI PhD program in 2007 and went on to found Bossa Nova Robotics, with a mission to put robots in people's lives. Bossa Nova designed, built and commercialized half a million robot toys, and is currently developing service applications for CMU's Ballbot.Sarjoun leads the development of Bossa [...]
Learning a Context-Dependent Switching Strategy for Robust Visual Odometry
Event Location: GHC 2109Bio: Kristen Holtz is a Ph.D. student in the Robotics Institute advised by Dr. Sebastian Scherer. She received her B.S. in Mechanical Engineering with a minor in Control and Dynamical Systems from California Institute of Technology in 2013. Her current research focuses on increasing robustness to unanticipated faults and failures, with the [...]
Integrating Image Clustering and Codebook Learning
Event Location: NSH 1507Bio: Pengtao Xie is a graduate student in the Language Technologies Institute, working with Professor Eric Xing. His primary research interests lie in latent space models and large scale distributed machine learning. He received a M.E. from Tsinghua University in 2013 and a B.E. from Sichuan University in 2010. He is the [...]
Correcting Regions of Inaccurate Modeling for Online Performance Improvement
Event Location: NSH 3002Abstract: To make intelligent decisions, robots often use models of the effects of their actions on the world. Unfortunately, in complex environments, it is often infeasible to create models that are accurate in every plausible situation, which can lead to suboptimal performance. In these cases, online correction of model inaccuracies can lead [...]
Environment Model Compression for Autonomous Exploration
Event Location: NSH 3305Bio: Erik Nelson is an M.S. student in the Robotics Institute at Carnegie Mellon University, advised by Dr. Nathan Michael. He received a B.S. in materials engineering from Cal Poly, San Luis Obispo in 2013. His research interests lie at the intersection of robotic mapping, perception, and exploration.Abstract: This talk will focus [...]