At IIIT Hyderabad’s Robotics Research Center, I’m rethinking autonomous driving across perception, planning, control, and end-to-end learning. I’m developing generative world models of how driving scenes evolve.
I’m also building computational and mathematical models of driver behavior and road-user psychology to help autonomous systems anticipate how people drive. I’m co-developing an autonomous driving software stack for a car from the ground up.
At iHub-Data, IIIT Hyderabad, I built a brain-controlled assistive robotic arm for healthcare, implementing its ROS 2 stack for BCI-driven autonomous pick-and-place. I trained Mamba models to decode EEG signals and map user intent to object selection.
At the Heterogeneous Robotics Lab, University of Georgia, I developed Imitation-BT, published at ICRA 2026. It distills deep reinforcement learning policies into interpretable behavior trees, retaining up to 100% of expert performance with roughly 10× fewer nodes than prior behavior tree synthesis.
