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The following technical papers and journal articles describing the project technologies have been prepared and presented at various conferences by the project partners. Click on any of the papers to access.

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• 3D Edge Detection based on Normal Vectors
• A vision-based framework and dataset for human behavior understanding in industrial assembly lines
• Adaptive Human-Robot Collaborative Missions using Hybrid Task Planning
• An Efficient Storage Solution for Cloud/Edge Computing Infrastructures
• Cognitive Ergonomics in Action: Requirements for Human-Robot Collaboration in Industrial Settings
• Composable and executable scenarios for simulation-based testing of mobile robots
• Computer Vision and Image Understanding
• Defining operational design domain for autonomous systems: A domain-agnostic and risk-based approach
• Detecting Three-Dimensional Straight Edges in Point Clouds Based on Normal Vectors
• Fast and Consistently Accurate Perspective-n-Line Pose Estimation
• From Composable Models to Correct-by-Construction Software for Contact-Rich Robotic Mobile-Manipulation Tasks
• From Developer Needs to Domain-Specific Languages: Specifying Sceneries for Simulation-Based Validation of Mobile Robots
• PEPPER: Profiling-based Edge Placement and Partitioning for Deep Learning Execution
• Shared Design Principles in Human-Robot Systems: A Work Domain Perspective
• StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling
• Streamlining ML Training in Kubernetes: An MLOps Architecture with Kubeflow
• The role of energy consumption prediction in Green Orchestration​

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