Pankaj Swarnkar
Papers
17
Total Citations
204
H-Index
8
About
Pankaj Swarnkar is a prominent robotics and control systems researcher whose work sits at the intersection of intelligent control theory and medical robotics. His research focuses primarily on advanced control strategies for robotic manipulators, with a specialization in surgical robot systems and robot-assisted surgery (RAS). Swarnkar has made significant contributions to the development of sophisticated control methodologies, including fuzzy logic-based sliding mode control, fractional-order PID controllers, and metaheuristic optimization algorithms applied to robotic systems. His most influential work, "A supervisory on-line tuned fuzzy logic based sliding mode control for robotics," has garnered 52 citations, establishing him as a credible voice in intelligent robotic control design. His sustained focus on surgical robotics — spanning trajectory planning, motion control, and stability analysis for digital operating theatres — reflects a clear vision of advancing precision medicine through automation. Notably, his 2020 paper addressing robotics solutions for COVID-19 demonstrated timely, socially relevant research adaptability. Across ten highly cited publications accumulating over 175 citations collectively, Swarnkar has consistently pushed boundaries in nonlinear control systems, comparative controller analysis, and mobile robot intelligence, making his body of work essential reading for students and engineers pursuing advanced robotics and biomedical automation research.
Research Focus
Key Achievements
Top Papers
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- 4Robotics Solutions to Combat Novel Corona Virus Disease-2019 (COVID-19)17 citations · 2020
- 5Metaheuristics Algorithm for Tuning of PID Controller of Mobile Robot System14 citations · 2022
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- 9Performance and Stability Analysis of Industrial Robot Manipulator8 citations · 2022
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