PhD Thesis Defense
Understanding and Recreating Visual Appearance Under Natural Illumination
Event Location: GHC 4405Abstract: The appearance of an outdoor scene is determined to a great extent by the prevailing illumination conditions. However, most practical computer vision applications treat illumination more as a nuisance rather than a source of signal. In this dissertation, we suggest that we should instead embrace illumination, even in the challenging, uncontrolled [...]
Exploring bounded optimal coordination for heterogeneous teams with cross-schedule dependencies
Event Location: GHC 6501Abstract: Many domains, such as emergency assistance, agriculture, construction, and planetary exploration, will increasingly require effective coordination of teams of robots and humans to accomplish a collection of spatially distributed heterogeneous tasks. Such coordination problems range from those that require loosely coordinated teams in which agents independently perform their assigned tasks, to [...]
Thought Recognition: Predicting and Decoding Brain Activity Using the Zero-Shot Learning Model
Event Location: GHC 8102Abstract: Machine learning algorithms have been successfully applied to learning classifiers in many domains such as computer vision, fraud detection, and brain image analysis. Typically, classifiers are trained to predict a class value given a set of labeled training data that includes all possible class values, and sometimes additional unlabeled training data. [...]
Constrained Manipulation Planning
Event Location: NSH 3305Abstract: For robots to be useful in our homes they must be able to interact with our everyday environments and obey constraints on their motion. This thesis focuses on manipulation planning algorithms, which use search and optimization to quickly compute trajectories that allow a robot to interact with its environment. Planning for [...]
Light and Water Drops
Event Location: NSH 1305Abstract: Water drops are present throughout our daily lives. Because of their shape and refractive properties, water drops exhibit a wide variety of visual effects. If not directly illuminated by a light source, then they are difficult to see. But if they are directly illuminated, they can become the brightest objects in [...]
Push Recovery Control for Force-Controlled Humanoid Robots
Event Location: GHC 6115Abstract: Humanoid robots represent the state of the art in complex robot systems, but the design of controllers can be challenging and tedious. High performance controllers that can handle unknown perturbations will be required if complex robots are to one day interact safely with people in everyday environments. The high degree of [...]
Query-Specific Learning and Inference for Probabilistic Graphical Models
Event Location: GHC 4405Abstract: In numerous real world applications, from sensor networks to computer vision to natural text processing, one needs to reason about the system in question in the face of uncertainty. A key problem in all those settings is to compute the probability distribution over the variables of interest (the query) given the [...]
On the Fundamental Relationships Among Path Planning Alternatives
Event Location: NSH 1305Abstract: Robotic motion planning aspires to match the ease and efficiency with which humans move through and interact with their environment. Yet state of the art robotic planners fall short of human abilities; they are slower in computation, and the results are often of lower quality. One stumbling block in traditional motion [...]
Graph-based Trajectory Planning through Programming by Demonstration
Event Location: NSH 1507Abstract: Autonomous robots are becoming increasingly commonplace in industry, space exploration, and even domestic applications. These diverse fields share the need for robots to perform increasingly complex motion behaviors for interacting with the world. As the robots' tasks become more varied and sophisticated, though, the challenge of programming them becomes more difficult [...]
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 [...]