Autonomous Navigation
Real-time park patrol simulation
Speed
1.0 m/s
Battery
87%
Items Collected
0
Distance Traveled
0.0 m
Current Zone
Playground Loop
No events yet — monitoring...
How It Works
LiDAR + Visual SLAM
360-degree LiDAR scanning at 20Hz combined with stereo camera Visual SLAM creates a real-time 3D map of the environment. The robot builds and updates its spatial understanding continuously, achieving centimeter-level localization accuracy even in GPS-denied environments like dense tree cover.
Adaptive Path Planning
A hybrid A* and RRT* planner generates optimal coverage routes that maximize area cleaned per charge cycle. The planner dynamically re-routes based on detected litter density, pedestrian traffic patterns, and terrain difficulty — ensuring the robot spends time where it matters most.
Obstacle Avoidance
Multi-layer safety system using both LiDAR point cloud analysis and depth camera fusion. Detects and classifies obstacles — pedestrians, pets, cyclists, furniture — and applies context-appropriate avoidance behaviors. Pedestrians get wide berths; static objects get precise navigation margins.
This is a simulated demo. In production, navigation data streams from deployed CleanWalker robots via onboard ROS2 nodes and MQTT telemetry.
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