Proposes a Logistic-Exponential precursor model coupled with trust calibration (trust as inverse accident probability) for dynamic risk perception in humanoid robots, supported by analysis of 126 events and a simulation case study.
Enhancing Sustainability of Human-Robot Collaboration in Industry 5.0: Context- and Interaction-Aware Human Motion Prediction for Proactive Robot Control,
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Toward Machine Risk Perception: Integrating Trust Calibration and Precursor-Based Risk Estimation for Humanoid
Proposes a Logistic-Exponential precursor model coupled with trust calibration (trust as inverse accident probability) for dynamic risk perception in humanoid robots, supported by analysis of 126 events and a simulation case study.