If you have any problems related to the accessibility of any content (or if you want to request that a specific publication be accessible), please contact us at scholarworks@unr.edu.
Browsing by Author "La, Hung"
Now showing items 1-18 of 18
-
.
.
.
A VUI Foundation and Performance Validation for Voice-to-Motion Control of Snake-like Robots
Casement, Sean Matthew (2023)Snakes are unique animals whose locomotion method has been the subject of analytical research since Sir James Gray first began investigating the undulatory movement of eels in the 1930s. The locomotion of snakes is unique ... -
.
.
.
Adaptive Path Following of the Biomorphic Hyper-Redundant Snake Robot in Unconstructed Environment
Yang, Weixin (2019)The efficient movement of biological snakes in various environments is the result of a long evolution. It is a challenge for researchers to make snake robots gain high efficiency, athletic agility, and environmental ... -
.
.
.
Analysis of Privacy-aware Data Sharing in Cyber-physical Energy Systems
Hossain, Md Tamjid (2022)In this thesis, we determine the key factors and correlations among the privacy, security, and utility requirements of grid networks to ensure effective inter-and intra-actions within physical layer equipment (e.g., ... -
.
.
.
Attention-Enabled Reinforcement Learning for Control of Scalable Multi-Agent Systems
Dailey, Joseph (2024)Multi-agent reinforcement learning has been the subject of considerable interest and effort for its potential as a means of specifying behavior policies for multi-agent systems. Specifically, on-policy algorithms based on ... -
.
.
.
Correntropy: Answer to non-Gaussian noise in modern SLAM applications?
Singandhupe, Ashutosh Ramlal (2022)The problem of non-Gaussian noise/outliers has been intrinsic in modern Simultaneous Localization and Mapping (SLAM) applications. Despite numerous algorithms in SLAM, it has become crucial to address this problem in the ... -
.
.
.
Deep Reinforcement Learning for Robotic Tasks: Manipulation and Sensor Odometry
Sehgal, Adarsh (2022)Research in robotics has frequently focused on artificial intelligence (AI). To increase the effectiveness of the learning process for the robot, numerous studies have been carried out. To be more effective, robots must ... -
.
.
.
Enhancing Quadruped Robot Design with Intelligent Physics-Informed Neural Network-Assisted Dynamic State Estimation and Active Spine Integration
Liu, Yuqing (2024)This dissertation represents my master's work on quadrupedal robot systems at the Autonomous System Laboratory, University of Nevada, Reno. It primarily focuses on the intelligent design of quadruped robots and unmanned ... -
.
.
.
EXPLORING TWISTED STRING ACTUATION FOR APPLICATION IN SOFT ROBOTICS
Konda, Revanth (2023)To make robots more ubiquitous, robotic structures that are compliant, lightweight, and low-cost are desired. Soft robots, which are fabricated using compliant materials and soft actuators, are ideal for such applications. ... -
.
.
.
Generalized Task Structure Learning for Collaborative Multi-Robot/Human-Robot Task Allocation
Blankenburg, Janelle (2020)The basis of this work is a control architecture for collaborative multi-robot systems focusing on the problem of task allocation under hierarchical constraints imposed upon a joint task. For these types of tasks, multiple ... -
.
.
.
Genetic Algorithms Optimized Potential Fields For Decentralized Group Tasking
Dubey, Rahul (2021)Maneuvering autonomous agents to accomplish complex tasks is a difficult and typically NP-hard optimization problem with many real-world applications. In this thesis, we use potential fields based on task and agent properties ... -
.
.
.
Large-scale Multi-agent Decision-making Using Mean Field Game Theory and Reinforcement Learning
ZHOU, ZEJIAN (2021)The Multi-agent system (MAS) optimal control problem is a recently emerging research topic that benefits industries such as robotics, communication, and power systems. The traditional MAS control algorithms are developed ... -
.
.
.
Machine Learning Techniques for Cancer Subtype Discovery and Single-cell RNA Sequencing Data Analysis
Tran, Nho Trung Duc (2023)Cancer is an umbrella term that includes a range of disorders, from those that are aggressive and life-threatening to indolent lesions with low or delayed potential for progression to death. After 20 years of cancer ... -
.
.
.
Modeling, Simulation and Validation of a Bio-Inspired and Self-Powered Miniature Pressure Sensing System for Monitoring Cerebral Intra Aneurysmal Pressure
Mohan, Nithya P. (2017)Intracranial aneurysm rupture is one of the main cause for the intracranial bleeding. A brain aneurysm is an abnormal focal bulging of the arteries in the brain. As an aneurysm grows, its wall becomes thinner and weaker, ... -
.
.
.
Multi-Context Socially-Aware Navigation Using Non-Linear Optimization
Banisetty, Santosh Balajee (2020)This presents a framework for a novel Unified Socially-Aware Navigation (USAN) architecture and motivates it for Socially Assistive Robotics (SAR) applications. This approach emphasizes interpersonal distance and how spatial ... -
.
.
.
Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering
Tran, Bang Sy (2023)Advances in single-cell technologies have shifted genomics research from the analysis of bulk tissues toward a comprehensive characterization of individual cells. These cutting-edge approaches enable the in-depth analysis ... -
.
.
.
Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand
Sidher, Abhijaat (2017)This work presents the design of a cost effective, open-source, 3D printed prosthetic hand with the implementation of object recognition in order to reduce the cognitive burden of amputees through automated grasping. Due ... -
.
.
.
Surface and Sub-Surface Analyses for Bridge Inspection
Ahmed, Habib (2023)The development of bridge inspection solutions has been discussed in the recent past. In this dissertation, significant development and improvement on the state-of-the-art in the field of bridge inspection using multiple ... -
.
.
.
Towards Developing a Scanning Position Sensitive Detector (PSD) Microscopy: PSD Measurement Enhancement, Adaptive Local Scanning and Implementation
Rahimi, Seyed M. (2016)A Position Sensitive Detector/Device (PSD) is a sensor that is capable of trackingthe location of a laser beam on its surface. PSDs are used in many scientific instrumentsand technical applications including but not limited ...