NASA's first mission to Psyche, a large asteroid in the asteroid belt, is set for launch in 2022 and will orbit Psyche to gather a better understanding its unique composition. After this initial orbital mission to Psyche, there is already anticipation of a follow up lander mission; our sponsor has defined the need to improve current space technology, via the creation of an innovative prototype robotic explorer, for this purpose. This project has expanded current technological boundaries and has worked to continually improve our knowledge of spacecraft for application in some of the most extreme environmental conditions in our solar system.

Project worked to develop a dynamic analytical model to detect potential anomalous entries at Phoenix Sky Harbor Airport direct access points, aka DAP doors, while also analyzing the current efficiencies of the airports Advanced Threat Local Allocation Strategy teams (ATLAS) scheduling to maximize full and part-time personal scheduling and identify potential improvements. Project resulted in a successfully developed model that detects anomalies and assists in the creation of efficient scheduling for ATLAS personnel. The project was sponsored by the Transportation Security Administration (TSA) and utilizes past data to identify potential security threats posed by individuals working within secure areas.

As part of NASA’s Psyche mission to launch a spacecraft that will orbit the Psyche 16 asteroid, our team designed a robot capable of traversing the hypothesized surfaces.

To assist the Psyche Mission’s magnetometer investigation, the goal of our project was to use machine learning to build a model capable of predicting solar wind conditions at any random location. To accomplish this, we trained a Multivariate Linear Regression model and a Neural Network on data gathered at 1AU and validated those models using data beyond 1AU. Across the 22 models that we tested, the best model was a Neural Network that utilized a maxout activation function, a huber loss function, a 100x100x100 hidden layer architecture, and ran 500 epochs for an improved r-squared value of 0.616.

SolarSPELL is a non-profit initiative at ASU “provid[ing] relevant, localized educational content to resource-constrained locations around the world” (SolarSPELL., 2020). Today, SolarSPELL relies on volunteer build-days and individual sourcing of components to assemble a hotspot device, which limits current production and resultantly SolarSPELL’s impact. To achieve an increase in production, how might our team redesign the unit for manufacturing and find suppliers who can produce a quality device and at the proper price point.

We are to create improvements in the interaction, management, and set-up/continuation process of the Undergraduate NASA Psyche Capstone program while maintaining a personal feel, and quality experience for the students involved.

The NASA Psyche Mission recently finished developing a prototype for a course explaining several topics related to diversity in teamwork. In an effort to make the course more appealing to its users, other students, while also reinforcing the lessons taught in the course, they requested a team to put together two to three games or simulations that students can play. Our team has successfully created one web-based simulation with plans for a second simulation developed for future implementation.

Our team created a mobile application experience to increase public engagement and interest for the NASA Psyche Mission. Our mobile experience is a fun, Psyche-themed game that audiences of all ages can enjoy.

We are Telgian capstone group, due increase in back-log service orders at Telgian Corporation. Upper-management has sought a solution that utilizes employee performance data equipped with an effective staffing model to help combat the delay in service orders.

In support of educating the public about the mission and ASU’s lead role in it, the School of Earth and Space Exploration is building a high-fidelity, full-scale model of the Psyche spacecraft that will hang from the ceiling of the ISTB-4 building. Approximately 10,000 K-12 students visit the building each year, as well as many thousands of other members of the public. To help them learn about the Psyche spacecraft and mission, we built an interactive system that physically lights important elements of the spacecraft model and shares information about it and the Psyche mission on an iPad mobile application.

The main objective of our team, Bug Busters, was to create an app that functioned as a learning tool for teaching the art of debugging code to those who were unfamiliar with the concept. With room for growth, the applet was intended to only consist of the beginner’s level for the first iteration but with the full intention to incorporate levels beyond beginner in the future. For our team, the goal was to create three different levels of difficulty within the beginner’s portion of the applet that effectively taught debugging.

The ASU/NASA Psyche Iron Meteorite Imaging System team is sought to help determine the bulk chemical compositions of iron meteorites from their optical images. Meteorite experts use their knowledge to identify chemical composition by the reflectivity, texture, and colors of samples. Based on these key characteristics the team was tasked with creating an automated recognition device that consistently takes images as to replicate the human expertise.

A repeat call is when a customer calls back a service provider with an issue within 7 days of a previous call. Our project provides analysis and solutions in mitigating repeat calls in the service industry.

Project Dungeonite aims to create a fun, multiplayer game that facilitates playing with friends effectively.

Featuring a deterministic, procedurally generated dungeon with destructible terrain, custom room themes, game altering traps and exciting power-ups.

In preparation for arrival at the Psyche asteroid, teams are working to create a light, web browser-based application with the ability to rotate and zoom on an arbitrary-shaped body in a normal web browser and to indicate all the places on the model where space-based data have been collected. Although we do not yet have data for Psyche, there is ample data, including shape models, for other main-belt asteroids, which are being used in developing the viewer.

The MIAS - Psyche. Is an integrated system capable of recognizing mineral compositions in an meteorite image. The user will have access through a web base application were the images can be upload and process to obtain the percentages of the minerals in the image.

The Psyche mission will use electric thrusters on its journey through space. The team was tasked to create a visual of the thrusters which explained how the thrusters work. The visual should be simple to use and understood by different education backgrounds.

The Psyche capstone “Nickel” team helped design and build a fun game app that targets the general public worldwide. The app is interactive, demonstrating the innovation and excitement of the mission. The app is designed to create a connection to the mission by allowing the audience to actively experience and participate in an enjoyable space adventure, leading up to the scheduled Psyche mission launch in 2022.

To complete this project, my sponsor guidance was to combine multiple company tools and reference materials into a single tool that would reduce complexity and simplify the work of baristas, shift supervisors, shift managers, store managers and field leaders.