Robotic Truck Unloader with 3D Perception for Mixed Box Handling
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Solution Overview
Problem
Current truck unloading systems require significant human labor due to the unpredictability of box and container configurations, making it difficult to automate the unloading and unpacking process efficiently.
Innovation Solution
A perception-based robotic manipulation system with a robotic truck unloader that includes a mobile base, industrial robot, pivoting front conveyor, and control subassembly, utilizing cameras and sensors to autonomously identify and handle products of varying sizes, minimizing human intervention through pick-and-scoop operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If human labor is used to unload trucks, then flexibility to handle varying box configurations is maintained, but labor costs and time consumption increase
Solution Approach 1:
The system performs preliminary scanning and 3D mapping of the cargo configuration before unloading begins. This advance perception allows the robotic system to plan its entire unloading sequence in advance, eliminating the need for real-time decision-making and manual intervention during the actual unloading process, thus resolving the contradiction between adaptability and time loss.
Solution Approach 2:
The robotic system employs dynamic adjustment of its manipulation strategy based on the perceived cargo configuration. The industrial robot can adapt its gripper force, movement speed, and picking sequence in real-time according to the detected box arrangements, maintaining high adaptability while operating autonomously at high speed, thereby reducing both labor needs and unloading time.
2Extent of automation
If automated systems are deployed to unload trucks, then labor requirements are reduced, but the system cannot easily adapt to unpredictable cargo configurations
Solution Approach 1:
The system incorporates continuous feedback loops where sensors scan the cargo configuration, the control system processes this information to update the 3D model, and the industrial robot adjusts its manipulation actions accordingly. This closed-loop feedback mechanism enables the automated system to adapt to any cargo configuration while maintaining full automation, resolving the contradiction between automation level and adaptability.
Solution Approach 2:
The system changes its operational parameters (gripper force, speed, approach angle, picking sequence) based on the detected cargo characteristics. By dynamically adjusting these parameters according to the perceived configuration, the automated system can handle varying box arrangements effectively while maintaining high automation, thus resolving the contradiction between automation extent and adaptability.
3Productivity
If traditional conveyor systems are used, then simple cargo handling is efficient, but complex configurations require manual intervention
Solution Approach 1:
The system introduces an intelligent perception and control subsystem as an intermediary between the cargo and the conveyor/robotic manipulation system. This intermediary layer perceives the complex cargo configuration and translates it into appropriate robotic actions, enabling the automated system to handle complex configurations without manual intervention while maintaining high productivity, thus resolving the contradiction between unloading speed and ease of operation.
Data Source
AI summary
A robotic truck unloader for unloading/unpacking product, such as boxes or cases, from trailers and containers is disclosed. In one embodiment, a mobile base structure provides a support framework for a drive subassembly, a conveyance subassembly, an industrial robot, a pivoting front conveyor, a distance measurement subassembly, and a control subassembly. The control subassembly coordinates the selective articulated movement of the industrial robot and the pivoting front conveyor as well as the activation of the drive subassembly based upon a perception-based robotic manipulation system. The robotic truck unloader executes pick-and-scoop operations utilizing the industrial robot and the pivoting front conveyor. Automated error handling is also provided.