Robot Arm Control Using 3D Sensing for Container Opening Alignment
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Solution Overview
Problem
Conventional robot systems require manual and skill-dependent touch-up operations to identify the position, orientation, and size of container openings, leading to variability and inefficiency when containers are replaced.
Innovation Solution
A robot system equipped with a three-dimensional sensor that captures two-dimensional image data and three-dimensional point cloud data to automatically identify the position, orientation, and size of container openings, using markers for accurate feature extraction and correction of robot arm movements to avoid interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual touch-up operation is used to identify container opening, then the robot can be taught the position and orientation of the container opening, but the operation is troublesome and time-consuming every time the container is replaced
Solution Approach 1:
The patent replaces the manual mechanical touch-up operation with an optical measurement system. A sensor captures images of the container opening, and image processing automatically extracts position and orientation data, eliminating the need for manual mechanical contact and measurement.
Solution Approach 2:
The system enables self-service by allowing the robot to automatically identify and adapt to different containers through image processing. The container itself provides visual features that the system uses for automatic positioning, eliminating the need for external manual teaching.
2Measurement precision
If manual touch-up operation is used to identify container opening, then the robot can be taught the position and orientation of the container opening, but the quality varies depending on the skill of the worker
Solution Approach 1:
The patent replaces manual mechanical touch-up operation with an optical measurement system. A sensor captures images of the container opening, and image processing automatically extracts position and orientation data, eliminating the need for manual mechanical contact and measurement.
Solution Approach 2:
The system enables self-service by allowing the robot to automatically identify and adapt to different containers through image processing. The container itself provides visual features that the system uses for automatic positioning, eliminating the need for external manual teaching.
3Extent of automation
If automated sensor-based identification is used to identify container opening, then manual operations are eliminated and consistency is improved, but additional equipment is required
Solution Approach 1:
The patent replaces manual mechanical touch-up operation with an optical measurement system. A sensor captures images of the container opening, and image processing automatically extracts position and orientation data, eliminating the need for manual mechanical contact and measurement.
Solution Approach 2:
The system enables self-service by allowing the robot to automatically identify and adapt to different containers through image processing. The container itself provides visual features that the system uses for automatic positioning, eliminating the need for external manual teaching.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise and automated identification of container openings, reducing manual errors and variability, and ensuring consistent operation across different containers without the need for touch-up operations.
Implementation Method 1
a three-dimensional sensor that obtains two-dimensional image data including the container and three-dimensional point cloud data including the container
Data Source
AI summary
A robot system according to one aspect of the present disclosure includes a robot arm mechanism to which a hand for gripping a workpiece stored in a container with an opening at a top of the container is attached, a sensor configured to obtain two-dimensional image data including the container and three-dimensional point cloud data including the container, and a control apparatus configured to identify a position, direction, and size of the opening of the container based on the image data and the point cloud data and control the robot arm mechanism so as not to interfere with the container. It is possible to identify the position, orientation, and size of the opening of the container without performing a touch-up operation on the container.


