PhD Thesis Proposal
Supreeth Achar
Carnegie Mellon University

Active Illumination for the Real World

Event Location: GHC 4405Abstract: Active illumination systems use a controllable light source and a light sensor to measure properties of a scene. For such a system to work reliably it must be able to handle the effects of global light transport, bright ambient light, defocus and scene motion. The goal of this thesis is to [...]

RI Seminar
Joel W Burdick
Professor
California Institute of Technology

Recovery of Function in Major Spinal Cord Injury Using Epidural Stimulation

Event Location: NSH 1305Bio: Joel Burdick received his undergraduate degrees in mechanical engineering and chemistry from Duke University and M.S. and Ph.D. degrees in mechanical engineering from Stanford University. He has been with the department of Mechanical Engineering at the California Institute of Technology since May 1988, where he has been the recipient of the [...]

VASC Seminar
C. Lawrence Zitnick
Principal Researcher
Microsoft Research

CANCELEDThe Depth of Our Understanding: Vision, Language, and Humor

Event Location: NSH 1507Bio: C. Lawrence Zitnick is a principal researcher in the Interactive Visual Media group at Microsoft Research, and is an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to visual object recognition. His current interests include object detection, semantically interpreting visual scenes, [...]

VASC Seminar
Greg Shakhnarovich
Assistant Professor
Toyota Technical Institute at Chicago

Rich Representations for Parsing Visual Scenes

Event Location: NSH 1507Bio: Greg is an Assistant Professor at TTI-Chicago, a philanthropically endowed academic computer science institute located on the University of Chicago campus, where he works on computer vision and machine learning. He also holds a part-time faculty appointment at the University of Chicago Department of Computer Science. Prior to coming to TTI-Chicago, [...]

PhD Thesis Defense
Nathan A. Wood
Carnegie Mellon University

Organ-Mounted Robots for Minimally Invasive Beating-Heart Surgery

Event Location: NSH 1507Abstract: In the push to improve patient outcomes in cardiac interventions, minimally invasive beating-heart surgery is a major field of surgical research. However, interventions on a soft tissue organ under continuous motion through remote incisions pose a significant challenge. Endoscopic approaches eliminate the associated morbidity of median sternotomy, but they require either [...]

PhD Thesis Proposal
Jonathan Michael Butzke
Carnegie Mellon University

Planning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization

Event Location: GHC 8102Abstract: Robots have become increasingly adept at performing a wide variety of tasks in the world. However, many of these tasks can benefit tremendously from having more than a single robot simultaneously working on the problem. Multiple robots can aid in a search and rescue mission each scouting a subsection of the [...]

PhD Thesis Proposal
Albert Wu
Carnegie Mellon University

The theory and implementation of spring mass running on ATRIAS, a bipedal robot

Event Location: GHC 8102Abstract: We expect legged robots to be highly mobile. Human walking and running can execute quick changes in speed and direction, even on non-flat ground. Indeed, analysis of simplified models shows that these quantities can be tightly controlled by adjusting the leg placement between steps and that the leg placement can also [...]

RI Seminar
Stelian Coros
Assistant Professor
RI, Carnegie Mellon

Computational Design, Fabrication and Control for Personalized Robotic Devices

Event Location: NSH 1305Bio: I am an Assistant Professor in the Robotics Institute at Carnegie Mellon University. Prior to joining CMU, I was a Research Scientist working for Disney Research Zurich. I obtained my PhD in Computer Science from the University of British Columbia. My doctoral dissertation, which won the Alain Fournier Ph.D. Dissertation Annual [...]

VASC Seminar
Calvin Murdock
PhD Student
Machine Learning

Semantic Component Analysis

Event Location: NSH 1507Abstract: We propose a novel formulation for component analysis that allows for rich instance-level constraints that encourage semantic interpretability of the learned components. Even with simple features and intuitive spatial consistency priors, our method produces accurate, semantically-meaningful image segmentations both with and without supervision.