Autonomous Systems Simulator

Autonomous vehicles and mobile robots rely on a continuous sense-plan-act loop to move safely through unpredictable environments. This simulator visualizes that loop directly: a rover sweeps a fan of simulated LIDAR rays across the arena every frame, each ray reporting how far it travels before hitting an obstacle pillar. A reactive planner turns those readings into a steering vector that blends attraction toward the current goal with repulsion away from anything the sensor sees nearby, so the rover weaves between obstacles and re-plans instantly as new ones come into range. Adjust sensor range, obstacle density and planner aggressiveness to see how each changes the rover's ability to reach its goals without collisions.