Javier Corredor

Universidad Nacional de Colombia, University of Pamplona

Papers

Total Citations

H-Index

About

Javier Corredor is a researcher specializing in teleoperation systems, human-robot interaction, and haptic feedback technologies. His work focuses on enhancing the collaboration between humans and robots in remote or hazardous environments, with particular emphasis on adaptive control strategies and shared autonomy. Corredor’s most cited paper, "Decision-Making Model for Adaptive Impedance Control of Teleoperation Systems" (2016, 20 citations), introduces a haptic assistance framework that dynamically balances tracking performance and human-machine interaction by scheduling admittance controller parameters—a key contribution to partially structured environments. He also explored the intersection of robotics and affective computing in "Evaluación de las emociones de usuarios en tareas con realimentación háptica utilizado el dispositivo Emotiv Insight" (2019, 9 citations), where he assessed EEG metrics to characterize user emotions during haptic tasks. Additionally, his work on "Shared control based on roles for telerobotic systems" (2011, 4 citations) advances collaborative frameworks that integrate robotic autonomy with human guidance. Through these contributions, Corredor has helped shape adaptive and emotionally aware teleoperation systems, with his research cited in studies on assistive robotics, human factors, and intelligent control.