Robot Work Control for Moving Transport Machine Targets
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Solution Overview
Problem
Existing robot work systems face performance deterioration due to the need to temporarily stop transport machines for robot operations, which is not addressed in current technologies.
Innovation Solution
A robot work system that includes an information processing apparatus with a recognition processing unit, work target determination unit, and transport machine control unit, which optimizes the position and control of work targets and transport machines using captured images and machine learning to maximize performance during robot operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the transport machine is stopped to allow the robot to perform work, then the robot can perform work accurately, but the overall system productivity deteriorates due to the temporary stop
Solution Approach 1:
The system performs recognition processing in advance to obtain multiple combinations of work target positions and transport machine control parameters before the robot executes the work. This allows the optimal control parameters to be predetermined, enabling the transport machine to maintain motion while the robot performs work accurately.
Solution Approach 2:
The system dynamically adjusts the transport machine control parameters based on the recognized work target position. By obtaining multiple combinations of positions and control parameters, the system can select the optimal combination that allows the transport machine to move at appropriate speeds while the robot performs work, rather than requiring a complete stop.
2Productivity
If the transport machine operates continuously without stopping, then system productivity is maintained, but the robot cannot perform work accurately on the moving work target
Solution Approach 1:
The recognition processing unit obtains multiple combinations of work target positions and transport machine control parameters, providing feedback information that allows the system to select optimal control parameters. This feedback mechanism enables the transport machine to operate continuously while adjusting its speed and position to allow accurate robot work.
3Productivity
If multiple combinations of work target position and control parameter are obtained, then optimal performance can be achieved, but the information processing complexity increases
Solution Approach 1:
The system creates multiple virtual combinations of work target positions and control parameters through recognition processing, then selects the optimal combination without requiring multiple physical trials. This computational approach allows optimal performance to be achieved through information processing rather than physical experimentation.
Data Source
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AI summary
An information processing apparatus obtains a plurality of combinations of a position of a work target candidate and a transport machine optimum control parameter which is a control parameter of the transport machine that maximizes performance of the work on a work target when the work target candidate is set as the work target, based on a captured image obtained by capturing an area including a plurality of the work target candidates transported by the transport machine, determines the work target from among the work target candidates based on the combinations, controls the transport machine based on the transport machine optimum control parameter of the determined work target, generates a control plan of the robot based on a position of the determined work target and the transport machine optimum control parameter of the work target and controls the robot according to the generated control plan.