Robot Teaching Correction Sharing Across Multiple Factories
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Solution Overview
Problem
The burden of skilled labor and time-intensive manual teaching processes is significant in industrial robot operations, especially in manufacturing sites with many robots, exacerbated by a decreasing skilled workforce and aging population.
Innovation Solution
An information sharing system that allows corrected information from one robot system to be shared among multiple systems, incorporating weighting values based on correction frequency and environment to determine optimal robot operations, reducing the need for repeated corrections and new system setups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual teaching is performed for each robot system individually, then the robot operation accuracy is ensured, but the time and labor burden increases significantly
Solution Approach 1:
The patent creates master teaching information from one robot system that can be copied and applied to multiple other robot systems. Instead of performing manual teaching for each robot individually, the teaching information is generated once and then distributed to multiple systems, dramatically reducing the time and labor required while maintaining operational accuracy through subsequent correction mechanisms
Solution Approach 2:
The patent introduces a correction information management system that acts as an intermediary between the master teaching information and individual robot systems. This mediator collects correction information from various sources, manages the corrections systematically, and applies them to ensure each robot system operates accurately in its specific environment without requiring complete re-teaching
2Reliability
If skilled persons perform teaching work for multiple robot systems, then the operation quality is maintained, but the burden on skilled persons increases due to decreasing workforce
Solution Approach 1:
The patent enables robot systems to serve themselves by automatically acquiring and applying correction information from a centralized management system. The correction information management system automatically collects, stores, and distributes corrections to multiple robot systems without requiring skilled persons to manually intervene in each system, significantly reducing the burden on skilled workers while maintaining operation quality
Solution Approach 2:
The patent implements feedback mechanisms where correction information is collected from actual robot operations and work environments, then fed back into the correction information management system. This feedback loop allows the system to learn from real-world performance and continuously improve the teaching information, maintaining high operation quality without increasing skilled person involvement
3Adaptability or versatility
If teaching information is corrected for each robot system separately, then the specific work environment requirements are met, but the correction work must be repeated across multiple systems
Solution Approach 1:
The patent creates a universal correction information management system that serves multiple robot systems simultaneously. The system collects, manages, and distributes correction information that can be applied across different robot systems, allowing corrections made for one system to benefit other systems with similar work environments. This multi-functional approach eliminates the need to repeat correction work for each individual system while still adapting to specific environmental requirements
Data Source
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AI summary
An information sharing system between a plurality of robot systems includes a plurality of robot systems, communicatably connected with each other through a network, and configured to be capable of presetting a given operation of a robot and repeating a correction of the operation, and a storage device, connected with the network and configured to store corrected information containing corrected operating information that is operating information for causing the robot to execute a given operation corrected in at least one of the robot systems. Each of the plurality of robot systems shares the corrected information stored in the storage device and operates the robot based on the sharing corrected information.