Robot Cell Position Teaching via Automated Sensor Detection
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Solution Overview
Problem
Existing robot cells face difficulties in accurately teaching the arrangement positions of working units around a robot without performing cumbersome measurement tasks, which is troublesome and inefficient.
Innovation Solution
A robot cell design featuring a first surface part for the robot and a second surface part with regularly arranged holes, allowing for easy alignment and correction of working unit positions using a simulator and displacement correction functions, enabling accurate teaching of working unit positions without manual measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accurate measurement of working unit arrangement positions is performed manually, then positioning precision is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system performs self-measurement using onboard sensors (laser scanners, cameras, RFID readers) to automatically detect working unit positions and arrangement information, eliminating the need for manual measurement operations while maintaining high positioning accuracy
Solution Approach 2:
Manual measurement operations are replaced by automated sensing systems including laser scanners for 3D positioning, cameras for visual recognition, and RFID readers for identification, converting mechanical/manual measurement into automated optical and electromagnetic detection
2Reliability
If fixed arrangement positions are predetermined and taught to the robot, then robot operation reliability is improved, but system adaptability decreases
Solution Approach 1:
The system transitions from static predetermined positions to dynamic real-time detection, where the robot continuously senses working unit positions during operation and automatically adjusts its motion paths and operation parameters to maintain reliable interaction despite arrangement changes
Solution Approach 2:
The system implements feedback loops where sensors continuously monitor working unit positions and arrangement states, and the robot controller automatically updates operation parameters based on this feedback, enabling both reliability through continuous verification and adaptability through real-time adjustment
3Measurement precision
If manual teaching of working unit positions is performed, then positioning accuracy is improved, but productivity decreases
Solution Approach 1:
The system performs preliminary automatic detection and measurement of working unit positions during the setup phase using sensors and vision systems, storing this information for future operations, thereby eliminating the need for repeated manual teaching while maintaining high positioning accuracy
Solution Approach 2:
The system creates digital copies or models of the working unit arrangements through sensor detection and 3D scanning, storing these virtual representations for simulation and operation planning, which accelerates the setup process while preserving precise positional information
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
A robot cell (1, 1A) according to an aspect of the embodiments includes a first surface part (2, 2a, 2B) and a second surface part (3, 3a, 3A, 3B). A robot that (4, 103) performs a work by performing a predetermined operation is arranged on the first surface part (2, 2a, 2B). In the second surface part (3, 3a, 3A, 3B), a plurality of fixing portions (30) that are used to fix a working unit used in the work by the robot (4) is arranged at a predetermined position, and the working unit is fixed to the second surface part (3, 3a, 3A, 3B) by using a fixing portion (30) selected from the fixing portions (30).