Dynamic Robot GUI Generation for Hot-Swappable Peripherals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Small and medium-sized manufacturing enterprises face challenges in integrating robotic automation due to high production variability and the need for customization, as commercial off-the-shelf robotic systems are not adaptable to accommodate human skill and judgment, and existing systems lack seamless integration of graphical user interfaces for added peripherals.
Innovation Solution
A GUI-based robotic programming platform that dynamically generates and adapts user interfaces and updates robotic properties in response to changes in robotic configuration, allowing for easy installation and swapping of hardware and software modules with minimal user intervention, enabling seamless interaction and control of robotic peripherals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If commercial off-the-shelf robotic systems are used, then initial setup and infrastructure costs are reduced, but adaptability to customization and high product variability in SMEs is insufficient
Solution Approach 1:
The robotic system implements dynamic reconfiguration capabilities where the robot can adapt its configuration based on different tasks and products. The system allows runtime changes to robotic properties and GUI elements, enabling SMEs to customize the robot for high-variability production without requiring complete system redesign, thus maintaining ease of manufacture while improving adaptability.
Solution Approach 2:
The robotic platform is designed with universal interfaces and modular architecture that allow it to perform multiple functions across different manufacturing tasks. The system can accommodate various peripherals, end-effectors, and tooling through standardized interfaces, enabling a single robot system to serve diverse customization needs in SME environments.
2Productivity
If robotic automation is implemented in SMEs with high product variability, then productivity is improved, but programming complexity and setup time increase
Solution Approach 1:
The system implements automatic generation of GUI elements and robotic properties based on the detected robotic configuration. When peripherals or tooling are attached, the system automatically generates the appropriate interface elements and programming parameters, eliminating the need for manual programming configuration and reducing setup complexity while maintaining productivity benefits.
Solution Approach 2:
The system pre-configures robotic properties and GUI templates that can be automatically selected and adapted based on the detected configuration. This preliminary preparation of programming elements reduces the complexity of on-site setup and programming activities, enabling faster deployment in SME environments.
3Measurement precision
If graphical user interface elements are manually configured for each peripheral, then interface precision is improved, but integration time and user effort increase
Solution Approach 1:
The system automatically generates GUI elements and robotic properties in response to detected changes in robotic configuration. When a peripheral is attached or configured, the system self-generates the appropriate interface elements without requiring manual configuration by the user, thus maintaining interface precision while dramatically reducing integration time and user effort.
Solution Approach 2:
The system continuously monitors robotic configuration changes and provides feedback by automatically updating the GUI elements and properties. This closed-loop approach ensures that the interface remains precisely aligned with the actual robotic configuration while eliminating manual configuration steps that would consume time.
4Adaptability or versatility
If robotic peripherals are hot-swapped during operation, then adaptability is improved, but system stability and reliability may be compromised
Solution Approach 1:
The system is designed to dynamically detect and respond to configuration changes during runtime. When peripherals are hot-swapped, the system automatically detects the change, updates the robotic properties, and regenerates the appropriate GUI elements, maintaining system stability and reliability while enabling flexible adaptability throughout operation.
Data Source
AI summary
Methods and systems for connection-driven generation of robotic user interfaces and modification of robotic properties include detecting a connection of a robotic peripheral to a robot; obtaining a peripheral property set corresponding to the robotic peripheral, wherein the peripheral property set includes one or more properties of the robotic peripheral; modifying, based on the peripheral property set, a robotic property set that includes one or more properties of the robot to provide a modified robotic property set; generating, during runtime, a robotic graphical user interface (“RGUI”) dynamically based on the peripheral property set, wherein the RGUI provides at least one user-accessible interface to control the robot and the robotic peripheral; and controlling, based on the modified robotic property set, the robot and the robotic peripheral in response to user input received via the RGUI.