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Full-Text Articles in Engineering
Sabr: Development Of A Neuromorphic Balancing Robot, Alec Yen, Yaw Mensah, Mark Dean
Sabr: Development Of A Neuromorphic Balancing Robot, Alec Yen, Yaw Mensah, Mark Dean
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
We discuss the development of a self-adjusted balancing robot (SABR) using a neuromorphic computing framework for control. Implementations of two-wheeled balancing robots have been achieved using traditional algorithms, often in the form of proportional-integral-derivative (PID) control. We aim to achieve the same task using a neuromorphic architecture, which offers potential for higher power efficiency than conventional processing techniques. We utilize evolutionary optimization (EO) and the second iteration of Dynamic Adaptive Neural Network Arrays (DANNA2) developed by the Laboratory of Tennesseans Exploring Neural Networks (TENNLab). For the purpose of comparison, a traditional balancing robot was first designed using PID control; the …
Sensor Fusion For Object Detection And Tracking In Autonomous Vehicles, Mohamad Ramin Nabati
Sensor Fusion For Object Detection And Tracking In Autonomous Vehicles, Mohamad Ramin Nabati
Doctoral Dissertations
Autonomous driving vehicles depend on their perception system to understand the environment and identify all static and dynamic obstacles surrounding the vehicle. The perception system in an autonomous vehicle uses the sensory data obtained from different sensor modalities to understand the environment and perform a variety of tasks such as object detection and object tracking. Combining the outputs of different sensors to obtain a more reliable and robust outcome is called sensor fusion. This dissertation studies the problem of sensor fusion for object detection and object tracking in autonomous driving vehicles and explores different approaches for utilizing deep neural networks …
Design And Simulation Of A Supervisory Control System For Hybrid Manufacturing, Michael Buckley
Design And Simulation Of A Supervisory Control System For Hybrid Manufacturing, Michael Buckley
Masters Theses
The research teams of Dr. Bill Hamel, Dr. Bradley Jared and Dr. Tony Schmitz were tasked by the Office of Naval Research to create a hybrid manufacturing process for a reduced scale model of a naval ship propeller. The base structure of the propeller is created using Wire Arc Additive Manufacturing (WAAM), which is then scanned to compare created geometry to desired geometry. The propeller is then machined down to match the desired geometry. This process is iterated upon until the final product meets design tolerances. Due to the complex nature and numerous industrial machines used in the process, it …
Connecting Islamic Technology And The History Of Robotics In Wikidata Via Wikidatabot, Anchalee Panigabutra-Roberts
Connecting Islamic Technology And The History Of Robotics In Wikidata Via Wikidatabot, Anchalee Panigabutra-Roberts
UT Libraries Faculty: Other Publications and Presentations
My current study is on the connection between the history of robotics and Islamic technology. I focused on early Muslim inventors, such as al-Jazari, from Artuqid Dynasty of Jazira in Mesopotamia (modern day Iraq, Syria and Turkey) who is considered to be the father of robotics. He wrote the Book of Knowledge of Ingenious Mechanical Devices, the manuscript treaty published after his passing in 1206, translated by Donald R. Hill, a British engineer and scholar on Islamic technology, in 1974. The manuscript in Arabic (MS. Greaves 27) is archived at the Bodleian Library, University of Oxford, United Kingdom. In …
Identification Of Emergent Collaborative Behaviors In Multi-Agent Systems, Bryson Howell
Identification Of Emergent Collaborative Behaviors In Multi-Agent Systems, Bryson Howell
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
Identification of Emergent Collaborative Behaviors in Multi-Agent Systems
Bryson Howell
Multi-Agent Reinforcement Learning (MARL) has been used to allow groups of autonomous agents to perform complex cooperative tasks. When MARL methods such as the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm [1] are used to train teams of agents in cooperative tasks, it has been observed that the actions of individual agents are significantly influenced by the actions of their teammates [2]. Additionally, prior work has shown that teams of agents trained independently of one another under identical conditions display a variety of behaviors [3]. Since these teams have been …
Robot Object Detection And Locomotion Demonstration For Eecs Department Tours, Bryson Howell, Ethan Haworth, Chris Mobley, Ian Mulet
Robot Object Detection And Locomotion Demonstration For Eecs Department Tours, Bryson Howell, Ethan Haworth, Chris Mobley, Ian Mulet
Chancellor’s Honors Program Projects
No abstract provided.