Govind Aadithya Rajagopalan is a PhD student in the Robot Motor Intelligence (RoMI) Lab at the National Robotarium, Heriot-Watt University, supervised by Dr. Carlos Mastalli. His research aims to unify predictive control and deep learning to enable dynamically balanced loco-manipulation in legged robots, with a broader goal of developing adaptive robotic systems that can operate robustly in unstructured environments.
He received his MSc in Mechatronics and Robotics Engineering from New York University in 2024 and his B.Tech in Mechatronics Engineering from SRM Institute of Science and Technology in 2018. At NYU’s Applied Dynamics and Optimization Lab, he contributed to simulation and state estimation frameworks for humanoid robots. Before moving into academia full-time, he worked as an R&D engineer at Schneider Electric, developing industrial automation solutions.
His long-term vision is to bridge the strengths of model-based methods with the adaptability of learning-based approaches, advancing robots that are not only stable and efficient but also versatile enough to navigate the complexity of the real world.