Welcome to the AMCL Simulation Project
Discover how probabilistic methods empower robots to understand their environment, estimate their positions, and adapt to uncertainty. This project not only demonstrates the AMCL algorithm through an interactive simulation but also provides in-depth explanations, connecting the mathematical underpinnings of Bayesian inference and Monte Carlo methods to real-world robotic applications.
Learn More