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CompletedAutonomous SystemsFEATURED
Autonomous Load Scanner Robot
Autonomous warehouse scanning robot with LIDAR and custom path planning algorithms
Feb 2024 – Feb 2025245 views
A fully autonomous robot system designed to scan and map warehouse loads using LIDAR and computer vision.
Built using ROS Noetic with custom path planning algorithms and real-time obstacle avoidance. The system processes point cloud data to create accurate 3D maps of the warehouse environment and efficiently navigates to scan loads.
Key innovations include a custom potential field algorithm for dynamic obstacle avoidance and a state machine for robust task execution.
Results
- 99.8%
- uptime
- 98.5%
- accuracy
- 3.2 loads/min
- scan Speed
Challenge
Handling dynamic obstacles in busy warehouse environments and ensuring consistent performance across different lighting conditions.
Approach
Implemented adaptive potential field algorithm and sensor fusion between LIDAR and cameras for robust perception.
Built with
ROSC++PythonLIDARPCLGazebo
Tags
#robotics#automation#computer-vision#ros