Robot Model Configuration Transfer With Failure Feedback
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Solution Overview
Problem
Existing robot simulation systems require significant re-teaching of operation points when the robot model is changed, as the configuration information from a first robot does not necessarily apply to a second robot, leading to increased operational workload.
Innovation Solution
An information processing method and apparatus that utilize configuration information from a first robot model to virtually operate a second robot model, notifying users of specific states or failures in the operation of the second robot model, allowing for reduced re-teaching workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If configuration information from a first robot model is used to operate a second robot model, then the re-teaching workload is reduced, but the reliability of operation decreases due to configuration incompatibility
Solution Approach 1:
The system executes the operation program on the second robot model and detects whether a specific state (failure or abnormal state) occurs. When a specific state is detected, the system notifies the user of the configuration information that caused it, providing feedback about incompatibility issues. This feedback mechanism allows users to identify and correct configuration problems while maintaining the benefit of automated configuration transfer.
Solution Approach 2:
The system performs preliminary execution of the operation program on the second robot model before actual deployment to detect configuration incompatibilities. By conducting this test run in advance, the system identifies potential issues with configuration information transfer before they cause operational failures, allowing preventive correction of problems.
2Productivity
If configuration information is transferred between different robot models, then operational efficiency improves, but the accuracy of operation decreases due to mechanical differences
Solution Approach 1:
The system provides feedback to users when configuration information causes specific states or failures in the second robot model. This feedback includes notifications about which configuration information is problematic, allowing users to adjust the configuration to achieve both efficiency and accuracy in the actual robot operation.
Data Source
AI summary
An information processing method executed by a processor including execute first processing that causes a second robot model to perform a virtual operation by using configuration information used to cause a first robot model to perform a virtual operation, and in a case where the second robot model has taken a specific state as a result of executing the first processing, execute second processing that notifies a user of the configuration information that has caused the second robot model to take the specific state.


