Robot Detection Assembly for Material Box Storage State Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing robot scheduling systems in the warehousing and logistics industry struggle to accurately record the position and storage state of material boxes, especially during abnormal situations such as dropping or manual placement, leading to inefficiencies and unreliability in robot operations.
Innovation Solution
A robot equipped with a detection assembly that aligns with storage positions to collect data and send it to a main control processing unit, allowing for real-time determination of material box storage states and control of picking up and placing operations, thereby ensuring accurate scheduling and avoiding abnormal operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a scheduling system is used to record material box positions and storage states, then normal picking and returning operations can be scheduled, but the system cannot accurately record positions and states during abnormal situations such as dropping or manual placement
Solution Approach 1:
A detection assembly is introduced as an intermediary component between the robot and the scheduling system. This detection assembly includes detection units that physically detect material boxes at storage positions and transmit detection results to the scheduling system, thereby accurately recording material box positions and storage states even during abnormal situations without requiring complex system-wide changes
Solution Approach 2:
The robot performs self-detection of material box positions and storage states through its own detection assembly during picking and returning operations. The detection assembly automatically detects whether material boxes are present at storage positions and reports this information back to the scheduling system, enabling the robot to autonomously maintain accurate storage state records
2Measurement precision
If the scheduling system records all position changes, then normal operations can be managed, but it fails to detect abnormal situations like manual placement or dropping
Solution Approach 1:
The detection assembly is pre-positioned at storage positions on the robot before operations begin. This allows the robot to immediately detect material box positions and states as it approaches storage locations, rather than requiring post-operation detection or continuous monitoring, thereby achieving high detection accuracy without time loss
Solution Approach 2:
The detection assembly provides real-time feedback to the scheduling system about material box positions and storage states. When the robot completes picking or returning operations, the detection assembly immediately detects the actual state and transmits this feedback information to the scheduling system, enabling timely correction of any discrepancies between recorded and actual states
Data Source
AI summary
A robot and a robot-based material box detection method, the robot including: a main control processing unit, a picking up and placing assembly, and a detection assembly arranged on the picking up and placing assembly; the detection assembly is configured to align with a storage position to be detected along a detection direction to collect data and send the same to the main control processing unit; and the main control processing unit is configured to determine a material box storage state in the storage position to be detected based on a data collection result, so as to control the picking up and placing assembly to pick up and place the material box.