Robotic Action Failure Diagnosis With Threshold-Triggered Scanning
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Solution Overview
Problem
Automated and robotic devices on industrial floors often experience underperformance, leading to objects being moved to undesirable locations due to repeated failure in actions like gripping, pushing, or lifting, without properly addressing the root cause of the failure.
Innovation Solution
A processor-based system that analyzes failure attempts, activates scanning devices to identify root causes, and provides automatic repairs to prevent further failures by simulating corrective actions and resource allocation for real-time execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device continues to attempt the action repeatedly without intervention, then the device persistence is improved, but the productivity deteriorates due to wasted time and incorrect object placement
Solution Approach 1:
The system implements feedback by monitoring the number of failed attempts and using this information to trigger appropriate responses. When the failure count exceeds a threshold, the system either activates scanning devices to identify root causes or aborts the action, preventing continuous wasted attempts and improving overall productivity while maintaining reasonable persistence
Solution Approach 2:
The system performs preliminary analysis by activating scanning devices to identify root causes before allowing further action attempts. This preliminary investigation prevents repeated failures by addressing underlying issues such as environmental factors or device malfunctions, thereby improving productivity by avoiding futile retry cycles
2Measurement precision
If scanning devices are activated to identify root causes, then the measurement precision is improved, but the loss of time increases due to additional scanning and analysis
Solution Approach 1:
The system applies partial action by selectively activating scanning devices only when the failure threshold is exceeded, rather than continuously scanning in all situations. This approach achieves sufficient root cause identification accuracy for failure analysis while minimizing time loss by avoiding unnecessary scanning during normal operation
Solution Approach 2:
The system changes the operational parameter of scanning device activation from continuous to conditional based on failure count threshold. This parameter change allows the system to maintain measurement precision for root cause identification when needed, while reducing time loss by keeping scanning inactive during successful operations
3Productivity
If the threshold for failure attempts is set low, then the productivity is improved by aborting failed actions quickly, but the reliability deteriorates due to premature abandonment of potentially recoverable actions
Solution Approach 1:
The system dynamically adjusts the failure threshold parameter based on the specific action type and context. Rather than using a fixed low threshold, the system can set appropriate thresholds that balance productivity and reliability for different scenarios, allowing potentially recoverable actions to continue while still aborting clearly failed sequences efficiently
Data Source
AI summary
A processor may analyze a specific area. The processor may determine whether a threshold number of attempts to perform an action by a device has been exceeded. The processor may activate one or more scanning devices. The processor may record an attempt to perform the action. The processor may automatically provide a repair for a failure attempt. The repair may allow the device to not subsequently exceed the threshold.