Ranjith Ravindranathan Nair
Indian Institute of Technology Kanpur, Indian Institute of Information Technology, Pune
Papers
5
Total Citations
381
H-Index
5
About
Ranjith Ravindranathan Nair is a leading researcher in intelligent robotic systems, specializing in multirobot coordination, fault-tolerant control, and robust motion planning. His work centers on developing advanced sliding mode control strategies—including event-triggered, nonsingular terminal, and fractional-order variants—to solve critical challenges in formation control, visual servoing, and autonomous navigation under disturbances. His most influential paper, "Event-Triggered Finite-Time Integral Sliding Mode Controller for Consensus-Based Formation of Multirobot Systems With Disturbances" (2017), has garnered 266 citations, demonstrating its foundational impact on distributed multiagent control. Nair’s contributions extend to fault-tolerant formation control of nonholonomic robots and hybrid visual servoing using reinforcement learning, with papers cited 63 and 22 times respectively. He also authored the book *Intelligent Control of Robotic Systems* (2020), which bridges theory and practice for smart robotics. His innovative integration of fuzzy logic, cyber-physical frameworks, and adaptive control has advanced routing and mobility in robotic networks. Nair’s research is essential reading for students and engineers working on resilient, autonomous multirobot systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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- 4Intelligent Control of Robotic Systems19 citations · 2020
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