Field Robotics Center Seminar
Curtis Boirum
Field Robotics Center, Carnegie Mellon University

Reducing Localization Error for Planetary Rovers with Absolute Bearing by Continuously Tracking the Sun

Event Location: NSH 1507Bio: Curtis Boirum is a M.S. student in the Robotics Institute advised by William “Red” Whittaker. He received an M.S. and B.S. in Mechanical Engineering from Bradley University in Peoria, IL in 2011 and 2009, respectively. He also received a B.S. in Physical Science from Eureka College in Eureka, IL in 2010. [...]

RI Seminar
Daniel D. Lee
Professor
University of Pennsylvania

Manifolds and Decision Making in Intelligent Systems

Event Location: NSH 1305Bio: Daniel Lee is the UPS Foundation Chair Professor in the School of Engineering and Applied Science at the University of Pennsylvania.He received his B.A. summa cum laude in Physics from Harvard University in 1990 and his Ph.D. in Condensed Matter Physics from the Massachusetts Institute of Technology in 1995. Before coming [...]

VASC Seminar
Robert F. Murphy, Ph.D.
Lane Professor Of Computational Biology & Professor of Biological Sciences
Carnegie Mellon

Building models of cell organization, differentiation and perturbation directly from microscope images

Event Location: NSH 1507Bio: Dr. Robert F. Murphy is the Ray and Stephanie Lane Professor of Computational Biology and Head of the Computational Biology Department in the School of Computer Science at Carnegie Mellon University. He is also Professor of Biological Sciences, Biomedical Engineering, and Machine Learning at Carnegie Mellon, Honorary Professor of Biology at [...]

RI Seminar
Michael Boninger, MD
Professor & Chair, Physical Medicine & Rehabilitation
University of Pittsburgh

Brain Computer Interfaces – Success from the University of Pittsburgh

Event Location: NSH 1305Bio: Dr. Michael Boninger is a Professor and UPMC Endowed Chair in the Department of Physical Medicine & Rehabilitation at the University of Pittsburgh, School of Medicine. He has joint appointment in the Departments of Bioengineering, and the McGowan Institute of Regenerative Medicine. He is Director of the UPMC Rehabilitation Institute and [...]

VASC Seminar
Michael Ryoo
Assistant Professor
Indiana University Bloomington

Human Activity Recognition from a Robot’s Viewpoint

Event Location: NSH 1507Bio: Michael S. Ryoo is an Assistant Professor of the School of Informatics and Computing at Indiana University. His research interest is within the areas of Computer Vision and Human-Robot Interaction, with a particular emphasis on human activity recognition, first-person vision, and wearable/ubiquitous cameras. Before joining IU, Dr. Ryoo was a staff [...]

RI Seminar
Matthew Johnson-Roberson
Assistant Professor
University of Michigan

Underwater mapping: new robotic approaches to an old problem

Event Location: NSH 1305Bio: Matthew Johnson-Roberson is Assistant Professor of Engineering in the Department of Naval Architecture & Marine Engineering and the Department of Electrical Engineering and Computer Science at the University of Michigan. He received a PhD from the University of Sydney in 2010. There he worked on Autonomous Underwater Vehicles for long-term environment [...]

RI Seminar
Sabine Hauert
Lecturer in Robotics
University of Bristol, UK

Swarming nanobots for cancer applications

Event Location: NSH 1507Bio: I am a swarm engineer interested in designing large collective systems that self-organize. Swarm strategies are either inspired from nature (ant colonies and bird flocks) or are automatically designed in simulation using machine learning and crowdsourcing. Demonstrated applications include designing swarming nanoparticles for cancer treatment and deploying large aerial swarms for [...]

VASC Seminar
Olga Russakovsky
Postdoctoral Fellow, RI
Carnegie Mellon

The human side of computer vision

Event Location: NSH 1507Bio: Olga Russakovsky (http://cs.cmu.edu/~orussako) is a postdoctoral research fellow at Carnegie Mellon University. She recently completed a PhD in computer science at Stanford advised by Prof. Fei-Fei Li. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She led the ImageNet Large Scale Visual Recognition Challenge effort [...]