Papers
4
Total Citations
16
H-Index
3
About
Rajeeb Dey is a robotics and control systems researcher whose work focuses on robust and intelligent control strategies for complex robotic systems. His key research areas include robot manipulator control, bilateral teleoperation, and Takagi–Sugeno (T–S) fuzzy control for nonlinear systems. Dey’s major contributions include developing a robust control law for n-link robot manipulators that estimates upper bounds on parametric uncertainty, guaranteeing asymptotic stability through Lyapunov theory—a foundational approach cited 6 times. He also introduced a novel mapping algorithm for bilateral teleoperation of bipedal robots using an Omni haptic manipulator, offering a more accessible alternative to exoskeleton-based control, with 5 citations. Additionally, Dey has advanced fuzzy control design by integrating H∞ performance indices and delayed state feedback for nonlinear systems, applied to two-link and single flexible joint robotic systems. His work on dissipative control for flexible joint robots further demonstrates his expertise in ensuring system stability and energy efficiency. With a growing citation record, Dey’s research is shaping practical, robust solutions for real-world robotic applications, making him a notable contributor to the fields of nonlinear control and robotics.
Research Focus
Key Achievements
Top Papers
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