Daniel Reyes-Uquillas
Papers
3
Total Citations
51
H-Index
3
About
Daniel Reyes-Uquillas is a robotics researcher focused on advancing human-robot collaboration through compliant control systems. His primary research areas include adaptive admittance control, safe manual guidance of robot manipulators, and compliant path-tracking for industrial automation. Reyes-Uquillas’s most impactful work, “Safe and intuitive manual guidance of a robot manipulator using adaptive admittance control towards robot agility” (2021), has garnered 41 citations, establishing a foundation for intuitive human-robot interaction. In this study, he developed a control framework that allows operators to physically guide robots with enhanced safety and responsiveness, directly addressing agility in collaborative tasks. His second major contribution, “Compliant Human–Robot Collaboration with Accurate Path-Tracking Ability for a Robot Manipulator” (2021), introduces a dual-mode system that maintains strict trajectory accuracy while remaining compliant to human forces—a critical innovation for precision manufacturing and assembly. Earlier work, “Online motion adjustment using compliance control for a multi-axis robot manipulator” (2017), tackled the growing demand for safe human-robot interaction by regulating robot speed in response to external forces. Collectively, Reyes-Uquillas’s research bridges the gap between robot precision and human adaptability, offering practical solutions for safer, more agile industrial environments. His work is essential reading for engineers and researchers developing next-generation collaborative robots.
Research Focus
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Top Papers
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