Index Catalog // ScholarsArchive@OSU

Evaluating Methods of Aligning Real-Time GNSS Networks to the National Spatial Reference System

Creator:: Ohene, William
Abstract:: Aligning Real-Time Networks (RTNs) with the National Spatial Reference System (NSRS) is crucial to ensure accuracy, consistency, interoperability, and long-term data integrity for geospatial applications. However, the effectiveness of different alignment methods as well as the need for monitoring approaches to maintain alignment consistency with the NSRS have not yet...
Resource Type:: Masters Thesis

Learning to coordinate in sparse asymmetric multiagent systems

Creator:: Dixit, Gaurav
Abstract:: Multiagent learning offers a rich framework to address challenging real-world problems such as remote exploration and healthcare coordination, which require autonomous agents to express elaborate interactions. To be effective in such systems, agents must collectively reason about and pursue high-level, long-term, and possibly nebulous objectives while adapting their strategy to...
Resource Type:: Dissertation

Operator Splitting for a Wildfire Model in a Heterogeneous Environment with a Surrogate Wind Velocity Field

Creator:: Pantuso, Nicholas M.
Abstract:: Living in the Pacific Northwest, we are acutely aware of the dangers posed by wildfires. Largely due to the worsening effects of climate change, this danger is only increasing. Along with causing property and economic damage to those communities affected by wildfires, exposure to the smoke generated by wildfires can...
Resource Type:: Masters Thesis

Agile Bipedal Locomotion via Hierarchical Control by Incorporating Physical Principles, Learning, and Optimization

Creator:: Green, Kevin
Abstract:: Robotic Bipedal locomotion holds the potential for efficient, robust traversal of difficult terrain. The difficulty lies in the dynamics of locomotion which complicate control and motion planning. Bipedal locomotion dynamics are dimensionally large problems, extremely nonlinear, and operate on the limits of actuator capabilities, which limit the performance of generic...
Resource Type:: Dissertation

Decentralized Multi-Robot Exploration with Sparse Communication through Deep Imitation Learning

Creator:: Senewiratne, Yomal K.
Abstract:: We present a method for decentralized, multi-robot exploration in adverse environments where communication is minimal. A key conceptual feature of our method is enabling implicit coordination between robots by training a Convolutional Neural Network (CNN) as a heuristic for planning using Monte Carlo Tree Search (MCTS). Our method consists of...
Resource Type:: Masters Thesis

Estimating Tree Defect and Log Quality with Terrestrial Structure from Motion Photogrammetry and Handheld LiDAR

Creator:: Morgan, Carli J.
Abstract:: Forest inventories are periodic resource assessments that can estimate items such as timber volume and value, tree growth rates, carbon sequestration, forest health status, wildlife habitat, fuel loading, and more. Traditional inventories require a large investment of resources and well-trained workforce. To date, most foresters and timber cruisers inventory forests...
Resource Type:: Masters Thesis

Deployment Planning for Multiple Marsupial Robots

Creator:: Lee, Chris (Yu Hsuan)
Abstract:: Multi-robot systems are versatile and extremely capable of exploration tasks in complex environments. Increasingly sophisticated planners, which incorporate new features of a multi-robot system, are necessary for the operation of the systems. Marsupial robots are multi-robot systems consisting of a carrier robot (e.g., a ground vehicle), which is highly capable...
Resource Type:: Masters Thesis

Pacific Madrone Leaf Blight Detection with Unmanned Aerial Systems and Machine Learning

Creator:: Barker, Matthew I.
Abstract:: Ground-based assessments of foliar diseases including leaf blight are time-consuming and costly. We investigated the potential for using an unmanned aerial system (UAS) in conjunction with a multispectral sensor to determine whether we could more efficiently and reliably detect and quantify leaf blight in Pacific madrones. Our methods included ground-based...
Resource Type:: Masters Thesis

Geometry of Locomotion

Creator:: Ramasamy, Suresh
Abstract:: Many animals and robots move through the world by coupling cyclical changes in shape called gaits to an interaction with the environment. Because mobility is an important aspect of such robots, a key metric when evaluating design and performance of mobile robots is the efficiency of their optimal gaits. The...
Resource Type:: Dissertation

Effects of Subsampling Trees and Imputation Methods on the Accuracy of Height-to-Crown-Base Predictions for Douglas-fir in Southwest Oregon

Creator:: Allensworth, Elijah J.
Abstract:: Accurate estimates of height-to-crown-base (HTCB) are essential for the reliable projections of stand structure over time required for sustainable forest management. Yet, HTCB often measured alongside total height (HT) for only for a subsample of trees in traditional stand-based inventories and must be imputed for all others. We compared the...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

Evaluating Methods of Aligning Real-Time GNSS Networks to the National Spatial Reference System

Learning to coordinate in sparse asymmetric multiagent systems

Operator Splitting for a Wildfire Model in a Heterogeneous Environment with a Surrogate Wind Velocity Field

Agile Bipedal Locomotion via Hierarchical Control by Incorporating Physical Principles, Learning, and Optimization

Decentralized Multi-Robot Exploration with Sparse Communication through Deep Imitation Learning

Estimating Tree Defect and Log Quality with Terrestrial Structure from Motion Photogrammetry and Handheld LiDAR

Deployment Planning for Multiple Marsupial Robots

Pacific Madrone Leaf Blight Detection with Unmanned Aerial Systems and Machine Learning

Geometry of Locomotion

Effects of Subsampling Trees and Imputation Methods on the Accuracy of Height-to-Crown-Base Predictions for Douglas-fir in Southwest Oregon

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