Warehouse Picking Robot With Telescopic Handling for Selective Sorting
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Solution Overview
Problem
Traditional manual sorting methods in logistics and warehouse industries are labor-intensive, inefficient, and prone to errors, while existing automated systems require customized racks, leading to high implementation costs and low carrying efficiency.
Innovation Solution
A robot system with a travelling apparatus, body, picking apparatus, telescopic component, lifting component, and rotating component, enabling precise and efficient item transfer and storage management, including a temporary cache apparatus and a second robot for enhanced mobility and task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the entire rack is carried for each sorting task, then the robot can transport all commodities, but it results in low carrying efficiency and waste of energy consumption due to transporting unnecessary commodities
Solution Approach 1:
The rack is divided into multiple racks, each carrying only the commodities needed for specific sorting tasks. This segmentation allows the robot to transport only necessary items rather than the entire rack, improving carrying efficiency and reducing energy consumption.
Solution Approach 2:
The system dynamically adjusts rack composition based on task requirements. Commodities are reorganized into different racks according to sorting needs, allowing the robot to carry optimized, task-specific rack configurations rather than static entire-rack transports.
2Reliability
If the rack is customized for each usage scenario according to robot size and running environment, then precision and stability are improved, but system implementation cost increases
Solution Approach 1:
A standardized rack structure is designed that can be universally applied across different usage scenarios. The same rack configuration works for various robot sizes and environments, eliminating the need for costly customizations while maintaining precision and stability through proper standardization.
Solution Approach 2:
Instead of customizing rack structure for each scenario, the system adjusts operational parameters (such as loading distributions, securing methods, and task assignments) to optimize performance for different robot sizes and environments, maintaining reliability without increasing manufacturing costs.
3Ease of operation
If traditional manual sorting method is used, then flexibility is maintained, but labor intensity is high, efficiency is low, and error rate is high
Solution Approach 1:
The system enables automated rack organization where racks are automatically configured and prepared based on task requirements. This self-service capability reduces manual intervention while maintaining the flexibility to adapt to different sorting scenarios, improving efficiency without sacrificing operational flexibility.
Data Source
AI summary
A robot includes: a travelling apparatus, disposed at a bottom of the robot and configured to be travelable to a preset position; a body, disposed above the travelling apparatus; a picking apparatus, disposed on the body and configured to pick a target item at a first position and transfer the target item to a second position; a telescopic component, disposed on the picking apparatus and configured to be extendable to switch between a contracted state and an extended state; a lifting component, disposed on the body and configured to lift or lower the picking apparatus and the telescopic component to a preset height; and a rotating component, connected with the picking apparatus and configured to be rotatable to adjust the picking apparatus to a target direction.