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Engineering  |  FURI

NASA Space Grant Robotics

NASA Space Grant Robotics is in the process of creating underwater robots that can be used for deep sea diving. This would replace divers, as well as reduce the risk to their lives. Furthermore, underwater robots will allow us to go deeper than any divers can, giving us an opportunity to explore vast expanses of […]

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PYRO Robotics – Rossum Rumblers Robotics Club

The VEX Robotics Competition, presented by the Robotics Education & Competition Foundation, is one of the world’s largest robotics competitions. Each year, an engineering challenge is presented to the elementary, middle school, high school, and university students. Students are tasked to build innovative robots and compete in that year’s game challenge with the ultimate goal […]

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NASA Space Grant Robotics

NASA Space Grant Robotics is in the process of creating underwater robots that can be used for deep sea diving. This would replace divers, as well as reduce the risk to their lives. With underwater robotics you can go deeper than any diver, being able to explore the vastly unknown ocean floor.NASA Space Grant Robotics […]

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Control of Bipedal Laminate Robot

Determining effective ways to control soft, laminate robotics has been an important issue in soft robotics since its nascent stages. The project focuses on the development and control of a walking gait for a laminate biped by using dynamics and control methodologies to keep track of its zero-moment point. The integration of knowledge gained from […]

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Freshman Retention in the Fulton Schools of Engineering

The goal of this project is to implement regression models for predicting the likelihood of a freshman student in the Ira A. Fulton Schools of Engineering to return in the following spring semester. This research is built off the analysis done by Arafat and Pedroza in the spring of 2018. The models that are being […]

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Various Artificial Intelligence Approaches Demonstrated by Chess

The main goal of this research project was to compare the effectiveness of various artificial intelligence (AI) engines in a measurable environment such as chess. In order to train the deep neural network (DNN)  an algorithm to make random movements (RM) was developed. An initial data set consisting of 20,000 games was trimmed to 702; […]

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Student Retention in the Fulton Schools

Because of the unending need for engineers, ASU has a vested interest in maintaining and increasing the retention of their first-time freshman engineering students. This research aims to utilize linear and non-linear modeling to predict student retention probabilities and identify which tools are most successful at increasing retention. The models will provide accurate predictions of […]

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Passively Actuated Jump Gliding Wings

This project is investigating the impact curvature, buckling, and anisotropy play when used passively to enhance jumping capability. In this paper we employ a curved laminate structure to allow a rigid link to collapse preferentially in one direction when it encounters aerodynamic drag forces. A joint of this nature could be used for passively actuated […]

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Automated Process Planning for Multi-material Manufacturing

This project is studying methods of automating the planning of multi-material manufacturing processes through the development of a new framework for representing and computing functionally-graded materials for use in rapid prototyping applications.  This framework includes low-level operations for combining geometries together and algorithms which assist the designer in computing manufacturing-compatible sequences. These algorithms can then […]

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