I am Niraj Rathod — a Ph.D. graduate in Computer Science & Systems Engineering specializing in Model Predictive Control, Autonomous Locomotion, and Industrial Data Architectures.
Combining rigorous theoretical control theory with industrial data science and real-time execution.
Robotics & Autonomous Locomotion
Design of real-time Nonlinear MPC algorithms for quadruped robots (HyQ), dynamic trajectory planning, and disturbance rejection on unstructured terrains.
Smart Factory Architectures
Architecting scalable cloud microservices, edge computing pipelines, and data-driven IIoT solutions for automotive manufacturing at Magna International.
Model-Based Design (SIL/HIL)
Optimizing solar cooling systems, thermal fluid dynamics, and motor control software for Electrical Oil Pumps in Electric Vehicles (EVs).
Featured research initiatives in quadrupedal robotics, nonlinear optimal control, and advanced system modeling.
A real-time Nonlinear Model Predictive Control framework with environment adaptation for dynamic quadrupedal locomotion on rough terrain. Tested on the HyQ robot.
Comprehensive Ph.D. dissertation covering dynamic modeling, optimal reference generation using LIP models, and experimental validation in robotics.