Roshni Maiti

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About

Roshni Maiti is a control systems researcher whose work focuses on intelligent adaptive control for complex robotic systems, particularly those facing real-world uncertainties. Her most cited paper, "Linear Consequence-Based Fuzzy Parallel Distributed Compensation Type L₁ Adaptive Controller for Two Link Robot Manipulator" (2019, 16 citations), introduces a novel control scheme for multi-input multi-output (MIMO) two-link robot manipulators. This work addresses critical challenges in robotics—time-varying uncertainties, external disturbances, and nonlinear dynamics—by combining fuzzy parallel distributed compensation (PDC) with L₁ adaptive control theory. The approach offers robust performance and stability guarantees, making it valuable for applications requiring precise and reliable robotic motion. Maiti’s contributions lie at the intersection of fuzzy logic systems and adaptive control, providing practical solutions for cross-coupled robotic systems. Her research is particularly relevant for students and engineers working on advanced manipulator control, where handling unpredictable environmental changes is essential. With her work cited in the field of intelligent robotics and control, Maiti continues to advance methodologies that enhance the safety, accuracy, and adaptability of autonomous robotic systems.