Laury Rodriguez
Papers
2
Total Citations
8
H-Index
2
About
Laury Rodriguez investigates the frontiers of human-robot collaboration (HRC), focusing on the critical interplay between trust, intuitive interaction, and artificial intelligence. Their work addresses a fundamental challenge in modern robotics: how to make autonomous systems not only functional but also trustworthy partners for humans. In their highly cited 2022 study, "Reasoning the Trust of Humans in Robots through Physiological Biometrics," Rodriguez pioneered methods to quantify and model human trust in collaborative robots using biometric data, laying essential groundwork for adaptive, responsive robotic systems. Complementing this, their development of an "AI-Embedded and ROS-Compatible Smart Glove System" demonstrates a tangible innovation for seamless human-robot interaction, enabling intuitive control through natural hand movements. By integrating physiological sensing with practical hardware and AI, Rodriguez’s contributions directly advance the safety, efficiency, and acceptance of collaborative robotics. Their research, already accumulating citations for its foundational impact, is shaping how future engineers design robots that earn and maintain human trust—a cornerstone for the widespread adoption of automation in industry and daily life.
Research Focus
Key Achievements
Top Papers
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