Papers
9
Total Citations
256
H-Index
7
About
Linping Chan is a leading researcher in robotic teleoperation systems, with a primary focus on adaptive control, force estimation, and disturbance rejection for nonlinear, time-delayed bilateral teleoperation. Chan’s major contributions center on the development of the Extended Active Observer (EAOB) and its improved variants, which simultaneously estimate inertial parameters and external forces while suppressing disturbances—a critical advance for haptic teleoperation under varying delays. Their highly cited survey on adaptive controllers in teleoperation systems (101 citations) provides a foundational taxonomy of control strategies for master-slave model uncertainties. Chan has also pioneered adaptive-observer-based robust control architectures, including scaled four-channel and predictive control frameworks, that unify dynamic uncertainty handling with operator/environment force acquisition. More recently, Chan’s work has expanded into industrial applications, with a 2025 survey on robotic automation in mining (13 citations) highlighting the translation of these advanced control methods into real-world autonomous systems. With over 250 total citations across their publications, Chan’s research is essential reading for anyone working on teleoperation, haptics, or adaptive control for robotic manipulators in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1Application of Adaptive Controllers in Teleoperation Systems: A Survey101 citations · 2014
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- 4Industrial Progress of Robotic Automation in Mining Applications: A Survey13 citations · 2025
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