Self-driven Robot with Overturning Mechanism for Warehouse Sorting
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Solution Overview
Problem
The logistics industry faces inefficiencies and high costs due to low automation in warehouses, requiring manual sorting and delivery of goods, which is time-consuming and labor-intensive.
Innovation Solution
A self-driven robot equipped with a vehicle body, driving mechanism, controlling mechanism, and overturning mechanism that can move autonomously to specified positions and unload goods, utilizing sensors and image processing for accurate positioning and efficient sorting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sorting and delivery of goods is used, then labor flexibility is maintained, but sorting efficiency is low and labor costs are high
Solution Approach 1:
The robot is equipped with autonomous navigation capabilities including sensors (ultrasonic, infrared, laser), image processing systems, and control mechanisms that enable it to independently locate positions, identify goods, and complete sorting operations without human intervention, thereby resolving the contradiction between improving productivity and avoiding excessive device complexity
Solution Approach 2:
The patent replaces manual mechanical sorting operations with an automated robotic system that uses electronic sensors, image processing, and automated control mechanisms to perform goods identification and sorting, significantly improving sorting efficiency while managing system complexity through modular design
2Productivity
If automated sorting system is implemented, then sorting efficiency increases, but system complexity increases
Solution Approach 1:
The robotic sorting system is divided into functional modules including driving mechanism, overturning mechanism, sensing system, image processing system, and control system. Each module performs a specific function and can be independently optimized, allowing the system to achieve high productivity while managing overall complexity through modular architecture
Solution Approach 2:
The robot is designed with multi-functional capabilities including autonomous navigation, goods identification through image processing, precise positioning, and automated unloading. This universal design allows a single system to handle multiple sorting tasks, improving productivity without proportionally increasing system complexity
3Loss of time
If manual goods handling is used, then system simplicity is maintained, but time consumption increases
Solution Approach 1:
The robot operates continuously with automated navigation and sorting functions. The driving mechanism continuously moves the robot to target positions, the image processing system continuously identifies goods, and the overturning mechanism continuously unloads items, eliminating the intermittent nature of manual operations and significantly reducing time consumption
Solution Approach 2:
The robot is pre-equipped with navigation algorithms, goods identification databases, and sorting logic. The image processing system pre-identifies goods characteristics, and the control system pre-plans navigation paths, allowing the robot to execute sorting operations rapidly without time-consuming manual decision-making processes
Data Source
AI summary
A self-driven robot includes a vehicle body, a driving mechanism, a controlling mechanism and an overturning mechanism. The driving mechanism and the overturning mechanism are disposed on the vehicle body. The driving mechanism is configured to drive the vehicle body to move. And the controlling mechanism is configured to control the overturning mechanism to overturn when the vehicle body moves to a specified position.