Moon Rover Automation
Reinforcement Learning for Autonomous Navigation
Reinforcement Learning
Robotics
Simulation
This project explores reinforcement learning approaches for autonomous navigation in a simulated lunar environment, developed in collaboration with researchers and informed by feedback from NASA scientists. The work was presented at StatConnect 2025 and focuses on environment design, reward shaping, and policy evaluation under uncertainty.
Context: This presentation reflects a snapshot of the project at the time of the StatConnect 2025 conference.