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🗺️ SLAM: Simultaneous Localization and Mapping

Interactive particle-filter SLAM simulation. A robot with noisy lidar and odometry localizes itself with Monte Carlo particle filtering while building a Bayesian log-odds occupancy grid map of a hidden maze.

Autonomous Systems2DAdvanced60 FPS

⚙ Under the hood

A robot with noisy lidar and odometry solves SLAM live, using a real particle filter to localize itself and a Bayesian log-odds occupancy grid to build the map of a hidden maze.

slamparticle-filteroccupancy-gridlidarroboticsmonte-carlo

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install