Robot-Aided Inspection with Human-Verified Image Classification
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Solution Overview
Problem
Conventional robotic systems are costly and time-consuming to develop and retool, especially for complex tasks, limiting their adoption in commercial settings due to high development and reconfiguration expenses and delays.
Innovation Solution
The development of robotic systems with modular hardware and advanced control logic that includes stepper motors, closed-loop motor control, and collaborative robotics capabilities, allowing for efficient task adaptation and safety features, enabling cost-effective and rapid reconfiguration for various commercial applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional robotic systems are custom-built for particular tasks, then task performance capability is improved, but development cost and time increase significantly
Solution Approach 1:
The robotic system is divided into modular components including end effectors, grippers, and interchangeable task-specific modules that can be independently developed, tested, and reconfigured. This segmentation allows rapid assembly of different task configurations without redesigning the entire system, thereby reducing development time while maintaining task performance capability.
Solution Approach 2:
The robotic platform is designed with universal interfaces and standardized mounting mechanisms that allow a single base system to perform multiple different tasks by swapping modular end effectors and tooling. This multi-functionality eliminates the need to custom-build separate robotic systems for each task, significantly reducing both development time and cost while preserving task-specific performance.
2Reliability
If conventional robotic systems are custom-built for particular tasks, then task performance capability is improved, but development cost increases significantly
Solution Approach 1:
The system is segmented into reusable modular components with standardized interfaces. Each module can be manufactured independently using conventional processes, reducing tooling costs and enabling parallel manufacturing. This approach maintains task-specific performance while significantly lowering development and manufacturing costs compared to custom-built monolithic systems.
Solution Approach 2:
A universal robotic platform with standardized mounting interfaces and interchangeable end effectors allows a single base system to perform multiple tasks. This eliminates the need for expensive custom-built systems for each application, reducing development costs while maintaining optimal task performance through purpose-designed modular attachments.
3Adaptability or versatility
If retooling conventional robotic systems is performed, then task adaptability is improved, but expense and delays increase
Solution Approach 1:
The robotic system uses segmented modular components with standardized quick-connect interfaces. Retooling involves simply detaching one module and attaching another, a process that can be completed in minutes rather than days. This maintains high task adaptability while dramatically reducing reconfiguration time and expense.
Solution Approach 2:
The system incorporates dynamically reconfigurable end effectors and tooling with adjustable parameters and interchangeable components. This dynamic design allows rapid adaptation to different tasks without permanent modifications or extensive retooling, enabling quick switches between task configurations while maintaining optimal performance for each specific application.
Data Source
AI summary
Disclosed herein are embodiments related to robot-aided product inspection. For example, an inspection apparatus may include a processing device to communicatively couple to a robotic apparatus, to a display device, and to a user input device. The processing device may: receive an image of an item, wherein the image was captured by the robotic apparatus; generate a proposed classification for the image, wherein the classification indicates an attribute of the item based on the image; cause the image to be displayed on the display device along with the proposed classification; and receive an indication from the user input device of a final classification of the image.