This service provides an industrial testbed for developing and validating vision-based algorithms in realistic robotic environments. Engineers and researchers can configure vision sensors, collect high-quality data, and process it in real time to test object detection and 6D pose estimation methods.
The service enables rapid prototyping, benchmarking, and performance optimization, while helping identify edge cases and failure scenarios. By integrating perception with robotic execution, it supports end-to-end, closed-loop experimentation that bridges the gap between simulation and real-world deployment.
With reproducible workflows and immediate feedback, the testbed accelerates innovation, reduces development risk, and supports the creation of robust, production-ready solutions for intelligent industrial automation.
Benefits for Technology Providers: Access to a state-of-the-art, integrated testbed combining robotic manipulation and advanced vision sensing, accelerated development, testing, and validation of object detection and pose estimation algorithms
Benefits for End Users: Deployment of intelligent perception capabilities for reliable product identification and precise pose estimation, improved flexibility and efficiency in handling diverse products within reconfigurable production lines
Deliverables: Consolidated experimental results and validation reports, detailed performance analysis, including accuracy, robustness, and system efficiency metrics
Exploration with the client, e.g. technical analysis, feasibility concept.
Technology providers developing AI-based vision systems for industrial applications
End-users aiming to design and deploy flexible, reconfigurable production lines with diverse product handling requirements
Customer required infranstructure: Defined use-case scenarios and operational workflows, CAD models and digital representations of target parts, process specifications (e.g., cycle time, accuracy requirements, constraints), existing datasets, models, or algorithms (optional but recommended)