Robot Kit Assembly Priority for Overlapping Components
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Solution Overview
Problem
Existing robot systems face challenges in assembling multiple types of component kits efficiently, as they struggle to differentiate and prioritize components when they overlap in storage, leading to potential assembly stoppages and reduced production efficiency.
Innovation Solution
A robot system equipped with an image capturing device that captures images of overlapping components, detects their types, positions, and poses, and determines a priority order for assembly based on these parameters, allowing it to assemble multiple types of component kits and prevent assembly stoppages by updating the priority order and placing assembled kits strategically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple types of components are stored in the component storage unit so as to overlap each other, then storage space is improved, but components necessary for assembling the component kit cannot be taken out from the component storage unit in some cases, leading to assembly stoppages
Solution Approach 1:
The system performs preliminary imaging and detection of component positions and poses before assembly begins. The image capturing device captures images of overlapping components, and the component specifying means pre-identifies which components are necessary for the component kit and their exact locations. This preliminary action enables the robot to retrieve components efficiently without assembly stoppages.
Solution Approach 2:
The system uses feedback from image capture and component specification to guide the robot's retrieval actions. The image capturing device continuously monitors the component storage unit, providing real-time feedback on component positions and poses. This feedback loop allows the system to adapt to the overlapping arrangement and successfully retrieve necessary components.
2Productivity
If the robot assembles component kits using overlapping components, then production efficiency can be improved, but it becomes difficult to differentiate and prioritize components of different types, leading to assembly errors
Solution Approach 1:
The system replaces mechanical component identification methods with optical imaging and image processing. The image capturing device captures visual information of overlapping components, and the component specifying means uses image analysis to differentiate component types, positions, and poses with high precision. This substitution enables accurate component identification even in overlapping arrangements.
Solution Approach 2:
The system performs preliminary imaging and component specification before assembly. The image capturing device captures images of all components in the storage unit, and the component specifying means pre-identifies and prioritizes components necessary for the component kit. This preliminary action ensures accurate component differentiation before the robot begins retrieval and assembly.
3Productivity
If the robot retrieves components from overlapping positions in the component storage unit, then component kit assembly can proceed, but the work of assembling the component kit is stopped in some cases when components cannot be accessed
Solution Approach 1:
The system performs preliminary detection of component positions and poses using the image capturing device before assembly begins. The component specifying means pre-identifies accessible components and prioritizes them for retrieval. This preliminary action ensures that the robot only attempts to retrieve components that are accessible, preventing assembly stoppages.
Solution Approach 2:
The system dynamically adjusts the retrieval plan based on real-time component positions and poses. The image capturing device continuously monitors the component storage unit, and the component specifying means updates the priority order of components to be retrieved. This dynamic adaptation ensures reliable assembly operations even when component arrangements change.
Data Source
AI summary
A robot causes an image capturing device to capture an image of a container in which a plurality of targets are placed to overlap in part with one another, the plurality of targets including components whose types are different from each other among the component and a component kit in which two or more of the components are assembled with one another, detects types, positions and poses of the plurality of targets based on the captured image captured by the image capturing device, determines a priority order of one or more of component kits being assembled using the targets placed in the container according to the detected types, the detected positions and the detected poses, and assembles the component kit selected based on the determined priority order.