Interactive Robot Workspace With Self-Calibration Display Sensing
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Solution Overview
Problem
Existing human-robot interfaces in industrial settings face efficiency limitations and deployment restrictions, particularly in high-mix low-volume processes, due to decoupled sensing and display instrumentation, leading to increased cognitive load and ineffective calibration processes.
Innovation Solution
The implementation of a smart-vision Cobot-workbench with a bidirectional vision viewport and an interactive display that uses adaptive, high-resolution back-projection with precise lighting and chromatic capabilities, enabling self-calibration and enhancing object recognition, allowing for intuitive programmability and task monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional human-robot interfaces are used with decoupled sensing and display instrumentation, then deployment flexibility is maintained, but cognitive load increases and calibration effectiveness decreases
Solution Approach 1:
The patent merges previously decoupled sensing and display instrumentation into an integrated active display system where the display surface serves dual functions as both information output and sensing element. This integration eliminates the need for separate calibration procedures and reduces cognitive load by providing unified feedback about robot workspace and object states.
Solution Approach 2:
The active display system performs multiple functions simultaneously: it displays information to operators, serves as a sensing surface for detecting object properties through light interaction, and provides calibration reference patterns. This multi-functionality resolves the contradiction by eliminating separate calibration instrumentation while enhancing reliability.
2Adaptability or versatility
If high-mix low-volume processes are implemented, then manufacturing flexibility improves, but interface complexity and deployment restrictions increase
Solution Approach 1:
The active display system dynamically adapts its functionality based on process requirements. It can switch between displaying different information types, change sensing characteristics through pattern projection, and adjust calibration modes without requiring hardware changes. This dynamic adaptability supports high-mix low-volume manufacturing while maintaining interface simplicity.
3Ease of manufacture
If traditional calibration processes are used, then system stability is maintained, but deployment cost and time increase
Solution Approach 1:
The active display system performs self-calibration by using its own display patterns as reference markers. The system automatically determines geometric relationships between the display surface and camera without requiring external calibration objects or manual intervention. This self-service capability eliminates deployment costs associated with specialized calibration equipment and reduces calibration time significantly.
4Measurement precision
If decoupled sensing and display instrumentation are used, then system modularity is maintained, but object recognition effectiveness and task monitoring quality decrease
Solution Approach 1:
The patent combines sensing and display instrumentation into a unified active display system where the display surface actively projects patterns and simultaneously captures light interactions for sensing. This merging improves object recognition effectiveness by providing high-contrast reference patterns and enhancing edge detection, while the integrated nature simplifies instrumentation configuration compared to decoupled systems.
Data Source
AI summary
Various aspects of techniques, systems, and use cases include provide instructions for calibrating or object identification in a human-robot interactive environment. A technique may include displaying a back illumination image having at least two distinct sections, capturing a scene including the first back illumination image and an object obstructing a portion of one of the at least two distinct sections of the first back illumination image, and identifying, using an orientation of the display screen relative to the camera (e.g., obtained via calibration), location information of the object relative to a robotic device based on the first scene. The technique may include outputting the location information.