Papers
1
Total Citations
4
H-Index
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About
Doo Yong is a leading researcher in haptics and teleoperation, with a particular focus on model-mediated teleoperation (MMT) systems. Their work addresses the critical challenge of maintaining stability and transparency in robotic teleoperation under time-delayed communication. In their highly cited 2022 study, Doo Yong provided the first rigorous analysis of how model mismatch—the discrepancy between the virtual model and the actual environment—affects system stability in MMT. This work revealed that systems using linear models can become unstable when interacting with nonlinear objects, a finding that explains previously observed experimental failures and provides a theoretical foundation for designing more robust teleoperation systems. With 4 citations to this paper, Doo Yong’s contributions are shaping the future of safe and reliable haptic feedback in applications ranging from telesurgery to remote exploration. Their research bridges the gap between theoretical stability analysis and practical implementation, offering critical insights for engineers developing next-generation teleoperation platforms.
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