Robot System Automating Tool Handling via Worker Motion Detection
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Solution Overview
Problem
Current robot systems assisting workers lack efficient methods to determine the completion of tasks and automate the handling of tools, leading to inefficiencies in workflow and increased manual labor.
Innovation Solution
A robot system equipped with a detection device to monitor worker motion and a controller that determines task completion, enabling automated article-feed and article-fetch operations, and a machine learning apparatus to learn and predict task timing using detection data and label information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated article-feed and article-fetch operations are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system divides the automation function into separate modules: detection device for monitoring worker motion, end determination section for analyzing task completion, and robot controller for executing article-feed and article-fetch operations. This modular segmentation enables automated workflow assistance while maintaining manageable system complexity through independent, specialized components.
Solution Approach 2:
The end determination section acts as an intermediary between the detection device and robot controller. It processes detection data to determine task completion status, then triggers appropriate robot operations. This intermediary layer simplifies the overall system architecture by decoupling detection and control functions while enabling automated productivity improvements.
2Loss of time
If manual monitoring of task completion is eliminated, then loss of time is reduced, but measurement precision requirements increase
Solution Approach 1:
The system replaces manual visual monitoring with automated detection devices that capture worker motion data. The end determination section processes this data to objectively determine task completion, eliminating delays associated with manual observation while requiring precise motion detection and analysis capabilities to accurately identify completion moments.
Solution Approach 2:
The detection device continuously monitors worker motion and provides real-time feedback data to the end determination section. This feedback mechanism enables automatic, timely detection of task completion events without manual intervention, reducing time loss while requiring sophisticated analysis to maintain precision in determining when work is actually completed.
Data Source
AI summary
A robot system assisting a worker to allow the worker to perform a work more smoothly. The robot system includes a robot, a detection device configured to detect motion of a worker when the worker is performing a predetermined work, an end determination section configured to determine whether the work is ended or not on the basis of detection data from the detection device, and a robot controller configured to cause the robot to carry out an article-feed operation or an article-fetch operation when the end determination section determines that the work is ended, the article-feed operation transporting an article for the work to a predetermined position to feed the article to the worker, the article-fetch operation fetching the article used for the work and transporting the article to a predetermined storage location.