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Full-Text Articles in Computer Engineering
A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire
A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire
Honors Theses
Reinforcement learning is thought to be a promising branch of machine learning that has the potential to help us develop an Artificial General Intelligence (AGI) machine. Among the machine learning algorithms, primarily, supervised, semi supervised, unsupervised and reinforcement learning, reinforcement learning is different in a sense that it explores the environment without prior knowledge, and determines the optimal action. This study attempts to understand the concept behind reinforcement learning, the mathematics behind it and see it in action by deploying the trained model in Amazon's DeepRacer car. DeepRacer, a 1/18th scaled autonomous car, is the agent which is trained …
Exploring The Behavior Repertoire Of A Wireless Vibrationally Actuated Tensegrity Robot, Zongliang Ji
Exploring The Behavior Repertoire Of A Wireless Vibrationally Actuated Tensegrity Robot, Zongliang Ji
Honors Theses
Soft robotics is an emerging field of research due to its potential to explore and operate in unstructured, rugged, and dynamic environments. However, the properties that make soft robots compelling also make them difficult to robustly control. Here at Union, we developed the world’s first wireless soft tensegrity robot. The goal of my thesis is to explore effective and efficient methods to explore the diverse behavior our tensegrity robot. We will achieve that by applying state-of-art machine learning technique and a novelty search algorithm.
Follow Me Robot, Victoria M. Edwards
Follow Me Robot, Victoria M. Edwards
Honors Theses
The idea of a personal robotic assistant, while once made up the tales of science fiction, is now moving closer and closer to reality. It is easy for two humans to walk together where one person knows the directions and the other person follows along. However, it is not a trivial problem for a robot to recognize a human, and follow side by side along with them. There are three key parts to this problem: 1.) Detection of a human, 2.) Tracking the human, and 3.) the robot's Motion strategy. Using baseline assumptions, I can simplify the detection process allowing …
Union Advanced Educational Robot, Erik Skorina
Union Advanced Educational Robot, Erik Skorina
Honors Theses
Our project was the design and construction of a medium sized (approximately 40 kg when fully loaded) mobile robot for educational and research use. This robot was designed to provide a strong baseline chassis with sensors, actuators and necessary software to allow for easy integration with existing robotic equipment, software and curricula. In particular, it was designed for use in intermediate and advanced undergraduate robotics courses and undergraduate research projects in robotics.