3D Robot Machining Without On-Site Teaching
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Solution Overview
Problem
Conventional robot systems require on-site teaching with rough accuracy, which complicates the processing of workpieces.
Innovation Solution
A robot system that utilizes a robot, a storage for object images and three-dimensional information, a selector, and a controller to automatically process workpieces by selecting and deriving processing portions based on image and three-dimensional information, allowing for automated processing without on-site teaching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If on-site teaching is performed for precise robot processing, then processing precision is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by acquiring three-dimensional information and creating a digital model of the workpiece before actual processing. The controller pre-calculates the processing path based on the digital model, eliminating the need for time-consuming on-site teaching while maintaining processing precision.
Solution Approach 2:
The system creates a digital copy (three-dimensional information) of the workpiece and uses this copy for path calculation instead of requiring physical on-site teaching. This digital modeling approach allows the robot to process the actual workpiece with high precision without repeated manual intervention.
2Manufacturing precision
If on-site teaching is performed for precise robot processing, then processing precision is improved, but operation complexity increases
Solution Approach 1:
The system replaces the mechanical on-site teaching operation with an automated digital modeling and path calculation system. The controller automatically generates processing paths based on three-dimensional information, substituting manual teaching operations with automated computational processes.
Solution Approach 2:
The system performs self-service by automatically acquiring three-dimensional information, creating digital models, and calculating processing paths without requiring external teaching intervention. The robot system serves itself by using the digital model to guide its own processing operations.
3Ease of operation
If automated processing without teaching is implemented, then operation simplicity is improved, but processing precision may deteriorate
Solution Approach 1:
The system uses three-dimensional information as feedback to accurately represent the workpiece geometry and calculate precise processing paths. The digital model provides continuous spatial reference information that ensures processing precision is maintained throughout automated operations.
Solution Approach 2:
The system transitions from two-dimensional image data to three-dimensional spatial information for path calculation. This dimensional enhancement provides comprehensive spatial coordinates and depth information, enabling precise positioning and orientation of the processing tool throughout the workpiece volume.
Data Source
AI summary
A robot system 100 includes a robot 1 that processes a processing portion B of an object W, a storage 32 that holds an image of the object W and three-dimensional information on the object W, a selector 9 that selects the processing portion B from the image, and a controller 3 that controls the robot 1. The controller 3 derives the processing portion B in the three-dimensional information based on a portion selected in the image by the selector 9 and the three-dimensional information, and moves the robot 1 based on the three-dimensional information on the processing portion B to cause the robot 1 to process the processing portion B.