Robot Application Control Using Temporal Property Change Sequences
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Solution Overview
Problem
Current methods for controlling and monitoring robot applications lack precision, flexibility, and safety, especially when dealing with complex systems, as they fail to effectively utilize time series data and property changes to optimize robot operations.
Innovation Solution
A method that determines output data values based on input data values and their property changes relative to each other, using predetermined linkages such as mapping and filtering, to improve control and monitoring of robot applications, allowing for more precise and flexible operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional control methods are used for robot applications, then the system is simpler to implement, but precision and safety are reduced
Solution Approach 1:
The control method is segmented into distinct evaluation stages: determining actual property changes of input data values, comparing these against target property changes, and generating output data values based on the comparison. This segmentation allows for precise control while maintaining manageable system complexity through modular processing steps.
Solution Approach 2:
The system performs preliminary evaluation by determining target property changes before executing the actual control action. By pre-defining the desired property changes and comparing them against actual input data, the system can make informed control decisions that improve precision without requiring overly complex real-time processing.
2Adaptability or versatility
If complex robot applications are controlled without temporal target sequences, then the control system is simpler, but flexibility and precision are reduced
Solution Approach 1:
The control system dynamically adapts to complex robot applications by evaluating actual property changes against temporally-ordered target property changes. This dynamic comparison approach allows the system to flexibly handle varying application requirements while maintaining a structured programming framework that does not excessive complexity.
Solution Approach 2:
The system manages complexity by focusing on parameter changes rather than absolute values. By determining property changes of input data values and comparing them to target property changes, the system achieves flexibility across different applications while using a consistent evaluation methodology that prevents programming complexity from escalating.
3Measurement precision
If property changes are not evaluated relative to each other in temporal sequence, then processing is faster, but control precision is reduced
Solution Approach 1:
The control method employs periodic evaluation of property changes in temporal sequence, systematically comparing each actual property change against the corresponding target property change. This periodic, structured approach ensures monitoring precision by maintaining temporal relationships while avoiding unnecessary continuous processing that would waste time.
Solution Approach 2:
The system achieves efficient processing by having each evaluation step serve multiple purposes: determining actual property changes, comparing them to targets, and generating output data values all within a unified temporal evaluation framework. This self-service approach eliminates redundant processing steps while maintaining the precision benefits of temporal sequence evaluation.
Data Source
AI summary
A method for controlling and/or monitoring a robot application includes determining a time series of first output data values on the basis of a time series of first input data values, a time series of second input data values, a time series of property changes of the first input data values and property changes of the second input data values relative to one another, and a predefined first link of the first and second input data values with the output data values that includes a predefined temporal target sequence of property changes of the first input data values and property changes of the second input data values relative to one another. The method further includes controlling and/or monitoring the robot application on the basis of the determined first output data values.