Xuanlin Li is a research scientist and tech lead based in San Diego with eight years of experience building generalist robotic and vision-language algorithms and systems. A founding member at Sudo AI, he focuses on generalizable robotic manipulation, navigation, and multimodal interaction, drawing on internships at Qualcomm, Hillbot, and The AI Institute where he worked on real-time LLM conditioning and contact-rich bimanual manipulation. His academic background includes a PhD in Computer Science from UC San Diego and a BA in Mathematics and Computer Science from UC Berkeley, and he conducted early research under Prof. Trevor Darrell at BAIR. Xuanlin blends deep research rigor with product-minded engineering to push systems from lab prototypes toward real-world deployment, often emphasizing generalization across tasks and sensors. He maintains an active portfolio of publications and projects on his personal site, signaling a commitment to reproducible, impactful research beyond typical lab outputs.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics, Computer Science, Bachelor of Arts - BA, Mathematics, Computer Science at University of California, Berkeley
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
Contributions:5 reviews, 6 PRs, 51 pushes in 1 year 9 months
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