Saumya Saxena is a Staff Research Scientist with eight years of engineering and research experience, currently applying a PhD in Robotics from Carnegie Mellon to push generalist robotic agents into real-world, long-horizon dynamic and interactive tasks. Her work sits at the crossroads of modern control theory, robot learning, and multimodal foundation models, combining rigorous academic training with practical system-building at Boston Dynamics. She has a strong track record of research and industry internships—from Bosch Center for AI to GE—that blend semantic scene understanding, vision-language navigation, and mechanical engineering foundations. Known for tackling unstructured environments, she brings both theoretical depth and hands-on experience integrating perception, control, and learning for embodied agents. An IIT Kanpur alumnus, she pairs multidisciplinary engineering roots with a focus on scalable, interactive robot behaviors.
8 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Carnegie Mellon University
Contributions:141 pushes, 1 branch in 1 year 3 months
differentiablemachine-learning
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Saumya Saxena - Staff Research Scientist at Boston Dynamics