Creating an Reconnaissance Blind Chess Bot using Agentic AI This project developed an Agentic AI-based bot for APL's Reconnaissance Blind Chess that combines multiple Large Language Models to blend different sensing and move strategies.Intern: Tommy DiepMentor: Andrew Newman (FPS)
The Success of Flight Begins on the Ground: Designing Non-Flight Mechanical Systems for Space Missions
AntHill: Designing a Futuristic Lunar Rover that Helps Establish Long-Term Human Prescence on the Moon
SEEcrets Revealed: Photodiode Space Radiation Vulnerability Exposed Through Pulsed-Laser Single Event Effect Testing
Strategic Tracking with Conflicting Filters: A Study of Kalman and Particle Filters in Nonlinear Game-Theoretic Systems
Cost-Effective Fabrication of Hollow Fibers Using Selective Laser Sintering (SLS) with AI-Optimized Motor Vibration
Can AI Really Do Physics? Investigating AI Agents' Conceptual and Mathematical Reasoning Through Textbook Physics Problems
Prompted to Lie? Evaluating How Prompt Specificity Influences Hallucinations in Large Language Models