Metal grating based plasmonic filters are widely researched for their unique properties of field enhancement and localization of light beyond diffraction limit. However, the plasmonic grating filters reported in literature mostly have broadband outputs making them unsuitable for spectroscopy. In this project, we have designed, fabricated, and characterized an array...
Reinforcement learning has emerged as a popular tool for solving control tasks, with multiple works focusing on the complex and dynamic task of locomotion. However, the naive application of reinforcement learning to this problem often produces maladaptive policies that exploit the model or reward function. This results in behavior that...
This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
Legged robots have consistently captured our collective imagination through various forms of media, from Hollywood films, anime, and viral Youtube videos of robots accomplishing incredible feats of acrobatics. These robots have the potential to navigate our environments, capable of completing tasks that would otherwise require human intervention. However, developing controls...
We consider the problem of tactical assault planning in real-time strategy games where a team of friendly agents must launch an assault on an enemy. This problem offers many challenges including a highly dynamic and uncertain environment, multiple agents, durative actions, numeric attributes, and different optimization objectives. While the dynamics...
Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...
The purpose of this study was to explore the relationships between
the similarity of food preferences among parents and children,
and parent attitudes.
Thirty-five children of preschool ages and their parents served
as subjects for this study. All children were enrolled in preschool
programs established by the = Family Life...
A branch mortality dating technique and whorl
sampling strategy were implemented to model five-year
crown recession from data collected on temporary
plots. Twenty-eight Douglas-fir from two levels-of-growing-
stock studies in Oregon and Washington were
first dissected to validate the proposed dating
technique and assess alternative sampling strategies.
Branch mortalities in...
Automatic analysis of American football videos can help teams develop strategies and extract patterns with less human effort. In this work, we focus on the problem of automatically determining which team is on offense/defense, which is an important subproblem for higher-level analysis. While seemingly mundane, this problem is quite challenging...
Monte-Carlo Tree Search (MCTS) is an online-planning algorithm for decision-theoretic planning in domains with stochastic and combinatorial structure. The general applicability of MCTS makes it an ideal first choice to investigate when developing planners for complex applications requiring automated control and planning. The first contribution of this thesis is to...