Amol A. Khalate

Indian Institute of Technology Kharagpur, Delft University of Technology

Papers

Total Citations

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About

Amol A. Khalate is a researcher specializing in the robust and adaptive control of robotic systems, with a particular focus on robot manipulators operating under parametric uncertainty. His work bridges classical control theory with intelligent systems, notably through the development of an adaptive fuzzy controller for trajectory tracking that outperforms conventional nonlinear saturation controllers. This key contribution, published in 2011, has garnered 26 citations and demonstrates asymptotic stability for n-DOF manipulators. Khalate further advanced the field by integrating adaptive fuzzy observers with robust controllers for 2-DOF robot arms, enabling real-time estimation of uncertainties in nonlinear Takagi-Sugeno models. His 2014 work on robust control, based on Lyapunov theory, introduced a method for estimating upper bounds on parametric uncertainty to guarantee asymptotic stability. While his citation counts reflect a focused, early-career impact, Khalate’s contributions are foundational for researchers tackling the challenge of precise robot control in the presence of unknown dynamics. His work is particularly valuable for students and engineers seeking practical, stability-guaranteed solutions for industrial and service robotics.