Scholar
Ran Tian (田然)
Google Scholar ID: uY4D8-wAAAAJ
University of California, Berkeley
Citations & Impact
Citations
1,720
H-index
14
i10-index
18
Publications
20
Co-authors
17
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Named a Microsoft Future Leaders in Robotics and AI (Feb 2025); Forbes 30 Under 30 nomination (Asia, tech) (Jan 2025); Rising Star and Yunfan Award at the World Artificial Intelligence Conference (Jun 2024); Robotics: Science and Systems Pioneer (May 2024); 2024 Qualcomm Innovation Fellowship winner (Apr 2024); Finalist in Baidu AI Fellowship (Mar 2024); RT-X won 2024 ICRA Best Paper, Best Student Paper, and Best Manipulation Paper (Mar 2024); FOREWARN won best paper award at ICLR workshop (May 2025); Efficient post-training preference alignment paper accepted as ICLR spotlight (Feb 2025).
Research Experience
- Worked at Waymo, scaling research outcomes in driving foundation models; worked at NVIDIA Research, focusing on vision-language-action models for autonomous driving; interned at WeRide, Honda Research Institute, and Qualcomm AI Research.
Education
- PhD: University of California, Berkeley, Advisors: Prof. Masayoshi Tomizuka and Prof. Andrea Bajcsy
Background
- Research Interests: Intersection of robotics and AI, focusing on safe alignment between embodied agents and humans. Research spans the lifecycle of foundation models in robotics, including training, fine-tuning, and deployment. Applications range from autonomous cars to personalized robots, generative AI, and experiments with real human participants.
Miscellany
- Co-organized several workshops, including Safely Leveraging VLMs in Robotics Workshop at ICRA and RSS Pioneers Workshop.
