Index Catalog // ScholarsArchive@OSU

Learning-based Techniques for Fast and Robust Motion Planning

Creator:: Chow, Scott
Abstract:: Motion planning is a cornerstone of autonomous robots, enabling robots to safely and efficiently perform tasks such as package delivery, infrastructure inspection, and manipulation. However, as the field of robotics matures, robotic systems are being developed that (1) are challenging to analytically model, (2) require computationally expensive model-based controllers, and...
Resource Type:: Dissertation

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

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:: Koul, Anurag
Abstract:: Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Resource Type:: Dissertation

Robotic Actuation and Control with Programmable, Field-Activated Material Systems

Creator:: Bira, Nicholas P.
Abstract:: This dissertation presents novel, field-activated smart material systems for the actuation and control of autonomous robots. Smart materials, a type of material whose properties can be changed with an external stimuli, represent a promising direction to expand upon existing robotic control and actuation methods, particularly in the sub-fields of soft...
Resource Type:: Dissertation

Bridging Ways of Knowing to Model the Dynamics of Fire as an Ecocultural Process on Frequent Fire Landscapes of the Pacific Northwest

Creator:: Greenler, Skye M.
Abstract:: Wildfire impacts have intensified in many ecosystems across the western United States due to the combined impact of fire exclusion, climate change, and land management practices. However, on many of these landscapes, fire is a fundamental ecological process that has shaped vegetation structural and compositional diversity, ecosystem function, landscape pattern,...
Resource Type:: Dissertation
Full Text:: imagine the last four years without his support, encouragement, and kindness. Frank Lake has been an

A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

Creator:: Azzouni, Abdullah
Abstract:: Continuous Improvement (CI) of academic computing programs is a main requirement of accreditation. Academic computing programs must have a well-documented CI plan in order to be granted accreditation. Based on the existing literature, we developed a comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty, research,...
Resource Type:: Dissertation
Full Text:: [27], Learning Fractals [45], and LEAN/EDU-FOCUS-PDCA [80]. However, Frank et al. presented a

Local Signal Detection on Irregular Domains with Spatially Varying Coefficient Model

Creator:: Zhang, Chengzhu
Abstract:: In areas such as spatial analysis and time series analysis, it is essential to understand and quantify spatial or temporal heterogeneity. In this dissertation, we focus on a spatially varying coefficient model, in which spatial heterogeneity is accommodated by allowing the regression coefficients to vary in a given spatial domain....
Resource Type:: Dissertation
Full Text:: terms of regression coefficients are introduced. For example, the bridge regression (Frank and Friedman

Deep Perception Without a Camera: Enabling 3D Reconstruction and Object Recognition using Lidar and Sonar Sensing

Creator:: DeBortoli, Robert A.
Abstract:: Deep learning has recently revolutionized robot perception in many canonical robotic applications, such as autonomous driving. However, a similar transformation has yet to occur in more harsh environments including underwater and underground. This is due in part to the difficulty in deploying robots in these environments, which lack large real...
Resource Type:: Dissertation

Landscape Genomics and Climatic Responses of Willamette Valley Alders

Creator:: Kral, George L.
Abstract:: The climate of the Pacific Northwest is in flux, and existing forest ecosystems are stressed and poised to shift in fundamental ways, with or without human intervention. This dissertation probes the nature of forest responses to environmental change through investigations of morphology and genetics of three species of alder co-occurring...
Resource Type:: Dissertation

Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

Creator:: Rajabi, Arezoo
Abstract:: Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
Resource Type:: Dissertation

ScholarsArchive@OSU

Learning-based Techniques for Fast and Robust Motion Planning

Learning to coordinate in sparse asymmetric multiagent systems

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Robotic Actuation and Control with Programmable, Field-Activated Material Systems

Bridging Ways of Knowing to Model the Dynamics of Fire as an Ecocultural Process on Frequent Fire Landscapes of the Pacific Northwest

A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

Local Signal Detection on Irregular Domains with Spatially Varying Coefficient Model

Deep Perception Without a Camera: Enabling 3D Reconstruction and Object Recognition using Lidar and Sonar Sensing

Landscape Genomics and Climatic Responses of Willamette Valley Alders

Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

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