Pittsburg, United States
Vikash is broadly interested in the field of Embodied Artificial Intelligence. His research centers around developing algorithmic formulations under real-world constraints. He draws on deep reinforcement learning, imitation learning, model-based control, optimal-control, and robotics foundations to develop techniques that are capable of synthesizing complex behaviors on physical systems. In pursuit of extreme dexterity and broad generalization, He is keen on solving contact-rich manipulation solving tasks of daily living in the real world.