My name is Jacob Cassady. I work at NASA Langley Research Center in the Flight Software Systems Branch. My current focus is autonomy; most of my time is spent as co-lead for the software and autonomy of the Tall Lunar Tower mission.
- Machine Learning
- Robotics
- Computer Vision
- Control Systems
This is a project that spanned a few of my undergrad courses. I'd inject this work whenever we were free to pick the topic. The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier capable of detecting a discrete set of American Sign Language (ASL) presentations from captured images of a hand and producing a desired response on another system. SIMON can utilize a variety of neural networks (nets) for producing its predictions including a classic deep neural net and a ResNet50 convolutional model.
Notes on the first 4 chapters of Neural Network Design by Hagan, et al. I don't plan to finish but a lot of people have found value in them.
My first big project from my first programming class. Sometimes it's helpful to see how rough everyone's start is. It might look ugly; but I bet you cant beat it : )
TAALE is a compact, lightweight, and portable, low-power self-erecting tower for use on landers, exploration rovers, and robotic lunar surface operations. Because the lunar tower is multi-functional and autonomous, it can help close two capability gaps: over horizon communications; and landing within 50 meters of a specified landing site on the Moon. This project aims to demonstrate autonomous erection of a fixed lunar infrastructure, develop systems to improve the lunar towers to support payloads, demonstrate the creation of a local WiFi network for data transfer from the top of the tower to the bottom, and demonstrate a stable platform with power and data routing for landing site survey payloads. [Taken from https://www.nasa.gov/feature/nasa-empowers-workforce-to-advance-deep-space-technologies]
- Role: Co-lead Software and Autonomy
- Mission Directorate: Research Directorate
Stewart platform based modular manipulator. See this public description: https://www.nasa.gov/feature/langley/nasa-assemblers-are-putting-the-pieces-together-for-autonomous-in-space-assembly
- Role: Software Engineer, autonomy team
- Mission Directorate: Research Directorate
NASA’s Low-Earth Orbit Flight Test of an Inflatable Decelerator, or LOFTID, is demonstrating a cross-cutting aeroshell -- a type of heat shield -- for atmospheric re-entry. For destinations with an atmosphere, one of the challenges NASA faces is how to deliver heavy payloads (experiments, equipment, and people) because current rigid aeroshells are constrained by a rocket’s shroud size. One answer is an inflatable aeroshell that can be deployed to a scale much larger than the shroud. This technology enables a variety of proposed NASA missions to destinations such as Mars, Venus, Titan as well as return to Earth. [Taken from https://www.nasa.gov/loftid]
- Role: Software Engineer, ground system
- Mission Directorate: Space Technology Mission Directorate
One of the most challenging tasks in remote sensing from space is achieving required instrument calibration accuracy on-orbit. The Moon is considered to be an excellent exoatmospheric calibration source. However, the current accuracy of the Moon as an absolute reference is limited to 5 – 10%, and this level of accuracy is inadequate to meet the challenging objective of Earth Science observations. ARCSTONE is a mission concept that provides a solution to this challenge. An orbiting spectrometer flying on a small satellite in low Earth orbit will provide lunar spectral reflectance with accuracy sufficient to establish an SI-traceable absolute lunar calibration standard for past, current, and future Earth weather and climate sensors. [Taken from https://science.larc.nasa.gov/ARCSTONE/]
- Role: Software Engineer, developed controller and simulator for cryocooler
- Mission Directorate: Science Directorate
- Jacob T. Cassady, Chris Robinson, Dan O. Popa. 2020. Increasing user trust in a mobile robot using explainable AI in a traded control paradigm. In The 13th PErvasive Technologies Related to Assistive Environments Conference (PETRA ’19), June 30 – July 3, 2020, Corfu Island, Greece. ACM, New York, NY, USA.
- N. H. James, J. R. Cooper, M. K. Mahlin, L. White, J. Cassady, J. Mulvaney, M. P. Vaughan and I. Wong. Assemblers Project Review: Building and Testing an Autonomous Modular and Reconfigurable Manipulation System. In 2022 AAIA SciTech Forum, January 3 – 7, 2022, San Diego, CA, USA.
- Kyongchan Song, Martin Mikulas, Matthew K. Mahlin, Jacob T. Cassady. Sizing and Design Tool for Tall Lunar Tower. in 2023 AAIA SciTech Forum, January 23 – 27, 2023, National Harbor, MD, USA.
- B.S. Computer Science and Engineering, honors, University of Louisville J.B. Speed School
- B.S. Electrical Engineering, honors, University of Louisville J.B. Speed School
- English
- Français