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.
Journal of Field Robotics43(1), 5–33 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A unified comparative threat-modeling framework is developed to analyze security and privacy risks across virtual and robotic assistive systems.
citing papers explorer
-
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.
-
Security and Privacy in Virtual and Robotic Assistive Systems: A Comparative Framework
A unified comparative threat-modeling framework is developed to analyze security and privacy risks across virtual and robotic assistive systems.