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About

Nabanita Adhikary is a robotics researcher whose work centers on advanced control strategies for robotic manipulators, particularly in trajectory tracking and position control. Her major contributions lie in the development of robust control methods that combine sliding mode control with backstepping and adaptive techniques to handle uncertainties and improve precision. Her most cited work, "Sliding mode control of position commanded robot manipulators" (2018), has garnered 78 citations, highlighting its influence in the field. She has also pioneered hybrid impedance control using adaptive backstepping sliding mode with PID sliding surfaces, as seen in her 2017 paper (7 citations), which addresses multi-DoF manipulator stability. Notably, her 2014 paper on a backstepping sliding mode controller for the COOL robot arm (8 citations) introduced adaptive gain tuning and dynamic surface control to mitigate the "explosion of terms" problem. Adhikary’s experimental validations, including kinematic control of a 6-DOF manipulator with damped least square Jacobian inverse (2017, 2 citations), demonstrate her commitment to practical implementation. Her work is essential for students and researchers seeking robust, real-world solutions for robotic arm control in uncertain environments.