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Full-Text Articles in Engineering
Flight Simulator Modeling Using Recurrent Neural Networks, Nickolas Sabatini, Andreas Natsis
Flight Simulator Modeling Using Recurrent Neural Networks, Nickolas Sabatini, Andreas Natsis
Undergraduate Research & Mentoring Program
Recurrent neural networks (RNNs) are a form of machine learning used to predict future values. This project uses RNNs tor predict future values for a flight simulator. Coded in Python using the Keras library, the model demonstrates training loss and validation loss, referring to the error when training the model.
From Inductive To Deductive Learning, Mikhail Mayers, Brian Henson
From Inductive To Deductive Learning, Mikhail Mayers, Brian Henson
Undergraduate Research & Mentoring Program
Using Machine Vision as a way to give information to Prolog. Using Prolog to solve deductive problems and analogical problems without having to manually enter all facts and information.
3d-Printed Leg Design And Modification For Improved Support On A Quadruped Robot, Jasmin S. Collins
3d-Printed Leg Design And Modification For Improved Support On A Quadruped Robot, Jasmin S. Collins
Undergraduate Research & Mentoring Program
The Agile and Adaptive Robotics Lab aims to uncover the biological and physiological complexities in animal agility and adaptive control, which can be replicated through robotics and provide further applications in biology and medicine. One project within the lab focuses on understanding structure, actuation, and control through the modeling of a canine quadruped robot.
The AARL has developed a full-body quadruped robot with artificial muscles that control limb movement and a body that is built from 3D-printed parts. This specific project involved modification of these existing parts to (a) minimize deflections in the front legs, causing unwanted lateral and abduction/adduction …