Pranav

Papers

Total Citations

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About

Pranav’s research focuses on advanced control systems for robotic manipulators, with a particular emphasis on sliding mode control (SMC) techniques. His work addresses the fundamental challenge of controlling multi-input multi-output (MIMO), highly nonlinear, and coupled robotic systems—a problem that has long challenged control engineers. His most cited paper, “Efficient reaching law for SMC with PID surface applied to a manipulator” (2016, 6 citations), introduces an innovative controller design that enables precise trajectory tracking for industrial applications such as pick-and-place, painting, and welding. Building on this, his second most cited work, “Some studies on SMC applied to a robotic manipulator” (2015, 5 citations), explores SMC using Proportional-Derivative (PD) surfaces with different reaching laws. Together, these contributions demonstrate Pranav’s systematic approach to improving robotic control performance through novel sliding surface designs and reaching law formulations. While his citation counts reflect an emerging career, his work represents a solid foundation in nonlinear control theory with direct relevance to industrial robotics, offering practical solutions for complex manipulator systems that require robust and efficient trajectory tracking.