PhD Thesis Defense
Gregory John Barlow
Carnegie Mellon University

Improving Memory for Optimization and Learning in Dynamic Environments

Event Location: NSH 1507Abstract: Many problems considered in optimization and artificial intelligence research are static: information about the problem is known a priori, and little to no uncertainty about this information is presumed to exist. Most real problems, however, are dynamic: information about the problem is released over time, uncertain events may occur, or the [...]

PhD Thesis Defense
Ling Xu
Carnegie Mellon University

Graph Planning for Environmental Coverage

Event Location: NSH 1305Abstract: Tasks such as street mapping and security surveillance seek a route that traverses a given space to perform a function. These task functions may involve mapping the space for accurate modeling, sensing the space for unusual activity, or searching the space for objects. When these tasks are performed autonomously by robots, [...]

PhD Thesis Proposal
Eakta Jain
Carnegie Mellon University

Attention-guided Augmentation of Animations, Stills, and Videos

Event Location: NSH 1305Abstract: Artists who work with visual media consider what a viewer will look at, how their attention will flow across the scene. They understand that attention is a limited resource and train themselves to use this resource well. In this thesis, our key insight is that algorithms to digitally manipulate artist-created visual [...]

PhD Thesis Defense
Samuel T. Clanton
Carnegie Mellon University

Brain-Computer Interface Control of an Anthropomorphic Robotic Arm

Event Location: NSH 1305Abstract: This thesis describes a brain-computer interface (BCI) system that was developed to allow direct cortical control of 7 active degrees of freedom in a robotic arm. Two monkeys with chronic microelectrode implants in their motor cortices were able to use the arm to complete an oriented grasping task under brain control. [...]

PhD Thesis Defense
Matthew McNaughton
Carnegie Mellon University

Parallel Algorithms for Real-time Motion Planning

Event Location: NSH 1305Abstract: For decades, humans have dreamed of making cars that could drive themselves, so that travel would be less taxing, and the roads safer for everyone. Toward this goal, we have made strides in motion planning algorithms for autonomous cars, using a powerful new computing tool, the parallel graphics processing unit (GPU). [...]

PhD Thesis Proposal
Krzysztof (Chris) Skonieczny
Carnegie Mellon University

Lightweight Robotic Excavation
Subtitle: The advantageous scaling of continuous excavator configurations, high payload ratio, and high driving speed

Event Location: NSH 1507Abstract: Excavating regolith, or loose soil, on the Moon and Mars enables outposts, fuel depots, and sustained space exploration. In space missions mass is always at a premium because it is the main driver behind launch costs. Low mass, especially when combined with reduced gravity, results in machines with limited weight available [...]

PhD Thesis Defense
Jonathan Chung-Kuan Huang
Carnegie Mellon University

Probabilistic Reasoning and Learning on Permutations: Exploiting Structural Decompositions of the Symmetric Group

Event Location: NSH 1305Abstract: Probabilistic reasoning and learning with permutation data arises as a fundamental problem in myriad applications such as modeling preference rankings over objects (such as webpages), tracking multiple moving objects, reconstructing the temporal ordering of events from multiple imperfect accounts, and more. Since the number of permutations scales factorially with the number [...]

PhD Thesis Defense
Tomasz Malisiewicz
Carnegie Mellon University

Recognizing and Interpreting Objects With the Visual Memex

Event Location: NSH 1305Abstract: Recognizing and reasoning about the objects found in an image is one of the key problems in computer vision. This thesis is based on the idea that in order to understand a novel object, it is often not enough to recognize the object category it belongs to (i.e., answering “What is [...]

PhD Thesis Proposal
Mehmet R. Dogar
Carnegie Mellon University

A Framework for Manipulation in Cluttered Environments

Event Location: GHC 8102Abstract: We want our robots to work in human environments. However, human environments are cluttered and clutter creates problems for robotic manipulation. We propose to develop a framework for manipulation in highly cluttered environments. We propose to rearrange the environment using prehensile and non-prehensile actions. We present our preliminary work, a framework [...]

VASC Seminar
Olivier Duchenne
PhD Student
ENS

A Graph-Matching Kernel for Object Categorization

Event Location: NSH 1507Bio: Olivier Duchenne received the M.S. degree in Computer Science and Applied Mathematics in École Normale Supérieure (ENS), in Paris in 2008. He then joined as a phD candidate the research team, WILLOW in the same university under the supervision of professor Jean Ponce. He received the best student paper, honorable mention, [...]