V.G. Moudgal

Papers

Total Citations

265

H-Index

About

V.G. Moudgal is a robotics and control systems researcher whose work has made meaningful contributions to the application of intelligent control methodologies for complex, underactuated robotic systems. Specializing in flexible-link robot control, Moudgal has focused on addressing the inherent challenges of controlling robots with highly flexible structures, where traditional linear and nonlinear control techniques often fall short. His most influential work, "Fuzzy Learning Control for a Flexible-Link Robot" (1995), garnered 142 citations and tackled two critical shortcomings in fuzzy control design: the ad hoc nature of controller parameterization and performance degradation under plant uncertainty — proposing learning mechanisms to overcome both. His complementary 1994 paper on rule-based control, with 94 citations, demonstrated practical design and implementation strategies for endpoint position control of a two-degree-of-freedom flexible robot. Later work explored expert supervisory control frameworks, reflecting a sustained commitment to bridging human intuitive knowledge with formal control architectures. Across his career, Moudgal's research has helped establish intelligent, adaptive, and rule-based approaches as viable alternatives to conventional techniques in demanding robotic applications, accumulating over 265 citations in total.