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About

Niladri Sekhar Tripathy is a robotics researcher whose work centers on robust control, multi-robot coordination, and space robotics. His major contributions lie in developing advanced control frameworks that handle uncertainty and nonlinear dynamics—critical challenges in real-world robotic systems. His most cited work, an event-triggered robust control law for robot manipulators (16 citations), addresses load variations and unmodeled dynamics through a static event-triggering rule, significantly reducing communication while maintaining stability. He has also pioneered finite-time robust control methods, ensuring rapid convergence in uncertain manipulator systems. In multi-robot systems, Tripathy has introduced collision-free segregation frameworks using Model Predictive Control with asynchronous path smoothing, enabling robots to form distinct groups despite motion disturbances. His recent work on data-driven event-triggered predictive control for space robots (2025) tackles post-impact stabilization of satellite-mounted manipulators under parameter uncertainties and joint friction—a vital contribution to on-orbit servicing. With a growing citation record and publications spanning from 2014 to 2025, Tripathy’s research bridges theoretical control design and practical robotic applications, making him a notable figure in the fields of nonlinear control and autonomous multi-agent systems.