Industrial Robot Control Using Single-Object Data Selection
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Solution Overview
Problem
Existing methods for controlling industrial robots require high data-processing resources, particularly memory and computing resources, for generating control information.
Innovation Solution
A method that involves detecting a plurality of objects, applying a first data-processing measure to select one object, generating selection information, applying a second data-processing measure to determine handling coordinates, and using these to control the robot's operation, thereby reducing the data volume and resources needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control information is generated by processing all detected object data, then complete control information is obtained, but high data-processing resources are required
Solution Approach 1:
The patent extracts only the necessary information for control by selecting a single target object from the plurality of detected objects. Instead of processing all object data, the system identifies and processes only the data relevant to the current task, thereby reducing data-processing resources while maintaining control information completeness.
Solution Approach 2:
The patent segments the data processing task into distinct stages: first detecting multiple objects, then selecting one target object, and finally processing only that selected object's data for control information generation. This segmentation allows the system to handle data efficiently by processing only what is necessary at each stage.
2Measurement precision
If all detected object data is processed to generate control information, then accurate control is achieved, but processing time increases
Solution Approach 1:
The patent extracts only the essential data needed for control by selecting a single target object from the detected plurality. This extraction approach maintains control accuracy by focusing on the most relevant object while significantly reducing the time required to process data.
Solution Approach 2:
The patent applies partial action by processing data for only one selected object rather than all detected objects. This partial processing is sufficient to achieve the control objective, thereby reducing processing time without sacrificing the necessary control accuracy.
Data Source
AI summary
Method for controlling the operation of an industrial robot configured in particular to carry out pick-and-place or singulation tasks.