Predictive fatigue-aware human-robot collaboration: a real-time, open-source ROS 2 instantiation of a three-module human-centric digital twin framework on a standard cobot

Industry 5.0 cobotics calls for collaborative robots that adapt to the operator’s physical and cognitive state in real time. Most current industrial deployments remain reactive, responding only after explicit commands and ignoring the operator’s psychophysiological condition. The three-module Human-Centric Digital Twin (HCDT) framework establishes the upstream perception-and-reasoning architecture for such systems using Vision-Language Models, and identifies closed-loop feedback and physical-ass

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ethics.ai (4 August 2026), “Predictive fatigue-aware human-robot collaboration: a real-time, open-source ROS 2 instantiation of a three-module human-centric digital twin framework on a standard cobot,” evidence record 15937, https://ethics.ai/record/15937 (originally published by Frontiers in Robotics and AI).

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