Shubham Derhgawen

I am a robotics graduate student at the University of California, Riverside, where I focus on embodied AI, machine learning, motion planning, and social robot navigation. My recent work spans crowd simulation for robot navigation, human-in-the-loop autonomous driving experiments, and reinforcement learning for sequential decision-making.

At UC Riverside, I have worked under the supervision of Prof. Ioannis Karamouzas in the Motion Planning Lab and Prof. Hang Qiu in the Collaborative Intelligence Systems Lab, on platforms for reproducible robotics evaluation and multimodal autonomous driving data collection. Before graduate school, I worked as a software developer at Vijeta Transport and as a systems engineer at Tata Consultancy Services, building production software, ETL workflows, and cloud data pipelines.

I am especially interested in robot learning, embodied intelligence, simulation-driven evaluation, and real-world autonomy. My coursework and projects have covered reinforcement learning, computer vision, natural language processing, warehouse robotics, and demonstration-augmented policy optimization.