Rajan Gill

Papers

Total Citations

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About

Rajan Gill is a researcher in robotics and control systems, with a focus on path following and trajectory tracking for robotic manipulators. His most-cited work, "Robust path following for robot manipulators" (2013, 14 citations), introduces a controller based on transverse feedback linearization (TFL) that ensures the output of a control system approaches and traverses a pre-specified path without requiring a time-parametrization. This approach guarantees invariance of the path, offering robustness against disturbances and uncertainties—a critical advancement for applications in industrial automation and autonomous systems. Gill’s contributions lie at the intersection of nonlinear control theory and practical robotics, addressing fundamental challenges in precision and reliability. While his citation count reflects a focused impact, his work on TFL-based path following has been cited in subsequent studies on robotic control and motion planning, underscoring its relevance to researchers seeking to enhance manipulator performance. Gill’s research stands out for its theoretical rigor and practical applicability, making it a valuable reference for students and engineers working on robust control strategies in robotics.