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AI Warehouse Robot - Coggle Diagram
AI Warehouse Robot
Workflow
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Order Analysis – identify items, quantities, and locations
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Components
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Sensors: LiDAR, camera, ultrasonic, and IMU
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Core Technologies
Computer Vision – object detection, recognition, and barcode/QR scanning
Sensors – LiDAR, cameras, ultrasonic sensors, IMU, RFID, and weight sensors
AI / Machine Learning – predictive models, decision making, and demand forecasting
Reinforcement Learning – improved navigation, path planning, and decision making
Autonomous Navigation – SLAM, mapping, localisation, and obstacle detection
Robotics Hardware – motors, actuators, control systems, and robot chassis
System Architecture
Sensors & Perception – collect data from cameras, LiDAR, RFID, and other sensors
Data Processing – filter, process, and understand the environment
AI & Decision Making – detect objects, plan routes, and prioritise tasks
Navigation & Control – move safely, avoid obstacles, and reach destinations
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Objective
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Improve efficiency, accuracy, and safety
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Automate Picking, inventory management, and transportation
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