Engineering Commons^™

Adaptive Multi-Scale Place Cell Representations And Replay For Spatial Navigation And Learning In Autonomous Robots, Pablo Scleidorovich

USF Tampa Graduate Theses and Dissertations

Place cells are one of the most widely studied neurons thought to play a vital role in spatial cognition. Extensive studies show that their activity in the rodent hippocampus is highly correlated with the animal’s spatial location, forming “place fields” of smaller sizes near the dorsal pole and larger sizes near the ventral pole. Despite advances, it is yet unclear how this multi-scale representation enables navigation in complex environments.

In this dissertation, we analyze the place cell representation from a computational point of view, evaluating how multi-scale place fields impact navigation in large and cluttered environments. The objectives are to …

Analyzing Decision-Making In Robot Soccer For Attacking Behaviors, Justin Rodney

USF Tampa Graduate Theses and Dissertations

In robotics soccer, decision-making is critical to the performance of a team’s SoftwareSystem. The University of South Florida’s (USF) RoboBulls team implements behavior for the robots by using traditional methods such as analytical geometry to path plan and determine whether an action should be taken. In recent works, Machine Learning (ML) and Reinforcement Learning (RL) techniques have been used to calculate the probability of success for a pass or goal, and even train models for performing low-level skills such as traveling towards a ball and shooting it towards the goal[1, 2]. Open-source frameworks have been created for training Reinforcement Learning …

Socially Aware Network User Mobility Analysis And Novel Approaches On Aerial Mobile Wireless Network Deployment, Ismail Uluturk

USF Tampa Graduate Theses and Dissertations

Service demand patterns for wireless networks are evolving with the technological developments in areas such as personal computing, unmanned vehicles, and internet-of-things, where increasing mobile service demand is one of the significant challenges introduced. In addition to these new intrinsic dynamics, natural disasters and societal upheaval are also disrupting the conventional patterns of network demand. Situations like damaged infrastructure due to a natural disaster or large numbers of displaced people caused by political strife and social upheaval demand flexible, rapidly deployable network architectures. The increasing demands of next-generation communication services are straining the capabilities of the traditional approach of the …

Multi-Scale Spatial Cognition Models And Bio-Inspired Robot Navigation, Martin I. Llofriu Alonso

USF Tampa Graduate Theses and Dissertations

The rodent navigation system has been the focus of study for over a century. Discoveries made lately have provided insight on the inner workings of this system. Since then, computational approaches have been used to test hypothesis, as well as to improve robotics navigation and learning by taking inspiration on the rodent navigation system.

This dissertation focuses on the study of the multi-scale representation of the rat’s current location found in the rat hippocampus. It first introduces a model that uses these different scales in the Morris maze task to show their advantages. The generalization power of larger scales of …

On The Selection Of Just-In-Time Interventions, Luis Gabriel Jaimes

USF Tampa Graduate Theses and Dissertations

A deeper understanding of human physiology, combined with improvements in sensing technologies, is fulfilling the vision of affective computing, where applications monitor and react to changes in affect. Further, the proliferation of commodity mobile devices is extending these applications into the natural environment, where they become a pervasive part of our daily lives. This work examines one such pervasive affective computing application with significant implications for long-term health and quality of life adaptive just-in-time interventions (AJITIs). We discuss fundamental components needed to design AJITIs based for one kind of affective data, namely stress. Chronic stress has significant long-term behavioral and …