Automated Truck Unloader With Suction Robot And Depth Sensors

The patent replaces human mechanical labor with an automated robotic system equipped with sensors, conveyors, and manipulation devices. The system uses optical sensors and depth cameras to detect box configurations and sizes, then automatically adjusts conveyor speeds and robot gripper forces to handle varying package types, eliminating the need for human workers while maintaining adaptability to different cargo arrangements

The system performs self-adjustment through automated detection and control mechanisms. The depth camera and optical sensors continuously monitor box positions and configurations, automatically updating the control system's digital model of the cargo. The conveyors and robots then self-regulate their operations based on this real-time data, enabling the system to adapt to varying box configurations without human intervention

The patent introduces a digital model as an intermediary between the physical cargo and the control system. The depth camera and optical sensors create a real-time digital representation of box configurations, which the control system uses to plan robot movements and conveyor operations. This digital twin approach simplifies the control architecture by decoupling the complexity of varying cargo arrangements from the automated system's decision-making processes

The system employs universal components that can handle multiple types of cargo through a single integrated platform. The robotic gripper can adjust its force and configuration for different box types, the conveyors can vary speeds and directions to accommodate various package arrangements, and the sensor system can detect diverse object geometries. This multi-functionality reduces the need for specialized equipment for each cargo type, managing system complexity while maintaining versatility