SOARLAB

SOARLAB · School of Intelligent Science and Technology, Nanjing University

Flying Robots, Embodied Agents, Real Systems

SOARLAB is led by Hao Xu at the School of Intelligent Science and Technology, Nanjing University. We build embodied and collaborative intelligence for aerial robots, humanoids, and emerging flying humanoid platforms, with a focus on robotics agents, world/action models, VLA-style robot foundation models, distributed perception, SLAM, and reinforcement learning.

2027 Admissions SOARLAB GitHub Publications Google Scholar

Hao Xu Tenure-track Associate Professor Personal Homepage

Nanjing University School of Intelligent Science and Technology

2027 Admissions

We are recruiting direct Ph.D., regular Ph.D., and master’s students from the 2027 cohort who are interested in embodied intelligence, robotics, and core algorithms. The most urgent directions are WAM/VLA and AI agents, while strong students in distributed perception, SLAM, and reinforcement learning are also welcome.

Recruiting Research

Principal Investigator

Hao Xu received his Ph.D. from the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology, supervised by Prof. Shaojie Shen. He has worked as a multi-sensor information fusion algorithm engineer at DJI and as an associate researcher at Beihang University, and will join Nanjing University as a tenure-track associate professor. His prior work spans spatial intelligence for aerial and legged robots, aerial swarm state estimation, distributed SLAM, and autonomous swarm systems; his future research centers on embodied and collaborative intelligence.

Research Pillars

Representative Work

Dr. Xu has published in major robotics journals and conferences including IEEE TRO, IEEE RAL, ICRA, and IROS, and serves as a reviewer for these venues. The collaborative work RACER received the IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award, the first time this award went to a team from China. His released systems include D2SLAM, Omni-Swarm, VINS-Fisheye, and FoxTracker.