Deliverable D4.4 is a continuation and update of Deliverable D4.3, presenting the current status of components developed within Work Package 4 (WP4) as of reporting month M39. It outlines the progress in CI/CD infrastructure (code repositories, pipelines, and project scaffolds), as well as the latest releases of AI-based modules that enhance perception, reasoning, coordination, and learning from human demonstration in collaborative environments.
Previous Versions
🡪 Building a distributed and calibrated network of sensors.
🡪 Novel models for the dynamic pose estimation of multiple people with respect to robot statuses.
🡪 Simplified deep graph partitioning method for detecting space-time patterns.
🡪 Techniques to classify and predict the future intention of operators based on accumulated behavioural data and the evolving context of processes and the environment.
Result:
🡪 Enhancing the global perception and reducing uncertainties in person tracking and modelling.
🡪 New AI techniques such as Deep Learning (DL) or the evolution of RL towards DRL (Deep Reinforcement Learning) to make these systems more autonomous with a degree of understanding of the world.
🡪 Intrinsic aspects of robot design, giving rise to cobots and AI-based central controllers that will avoid any dangerous situation.
Result:
🡪 Safety and security in manufacturing between people and robots, avoiding collision and limiting impact forces to acceptable levels.
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