Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
Core Contributor · Xiaomi Robotics Team
Scaling robotic learning with over 100K hours of real-world manipulation trajectories.
Towards scalable and physically grounded robot intelligence.
Qiao Sun
Advanced Researcher, Robot Foundation Model Team · Xiaomi Robotics
I am an Advanced Researcher at the Robot Foundation Model Team, Xiaomi Robotics, where I was selected for the Top Talent Program. My research focuses on scalability in embodied learning, aiming to build robotic systems that generalize robustly across diverse tasks and environments.
Specifically, I am currently exploring two directions to advance scalable robot learning: (1) leveraging large-scale human data to unlock generalizable manipulation policies, and (2) developing unified visual-tactile representations to enable transferable physical grounding. I have the privilege of working closely with and learning from Wenxuan Song, Yifan Xie, and Zhuorong Li as we pursue these directions.
Previously, I was a Visiting Researcher at Harvard University and MIT-IBM Watson AI Lab, under the guidance of Prof. Chuang Gan and Prof. Yilun Du, and in close collaboration with Haoyu Zhen. Earlier, I was a Research Intern at Shanghai AI Laboratory. I received my M.S. in Electrical and Computer Engineering from Fudan University. Before that, I received a Bachelor of Engineering and a Bachelor of Management from Tianjin University.
