Photo by Billy Yan

Zhaojing Yang

Hi! I'm a Research Engineer at Meta Superintelligence Labs (MSL). Previously I was a Founding Research Engineer at Assured Robot Intelligence (ARI). My research focuses on Robot Learning to bring humanoid robots to real-world applications.

I've been fortunate to work with Prof. Xiaolong Wang at UCSD, and with Prof. Erdem Bıyık and Prof. Gaurav Sukhatme at USC. I received my MSCS degree from USC and my BEng degree in Computer Science from Shanghai Jiao Tong University.

News

May 2026 I joined MSL following Meta's acquisition of ARI.
Jan 2026 Our paper on Learning from Constrained Demonstrators was accepted to ICLR 2026. Congrats to Xinhu and the team!
Oct 2025 Our paper on Active Reward Learning from Language Feedback was accepted to IJRR. Congrats to Eisuke and the team!
May 2025 I joined ARI as a founding research engineer.
Apr 2025 NaVILA was accepted to RSS 2025. See you in Los Angeles!
Oct 2024 Our paper on Learning from Comparative Language Feedback was accepted to CoRL 2024!
Jan 2024 Our paper on Quadrotors Collision Avoidance and Local Navigation was accepted to ICRA 2024!

Publications

* denotes equal contribution, † denotes equal advising

Learning from Constrained Demonstrators teaser

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators

Xinhu Li, Ayush Jain, Zhaojing Yang, Yigit Korkmaz, Erdem Bıyık

ICLR 2026

[Paper] [arXiv] [Website]

Active Reward Learning and Iterative Trajectory Improvement from Comparative Language Feedback

Eisuke Hirota^*, Zhaojing Yang^*, Ayano Hiranaka, Miru Jun, Jeremy Tien, Stuart Russell, Anca Dragan, Erdem Bıyık

IJRR

[Paper] [Code] [Website]

NaVILA: Legged Robot Vision-Language-Action Model for Navigation

An-Chieh Cheng^*, Yandong Ji^*, Zhaojing Yang^*, Zaitian Gongye, Xueyan Zou, Jan Kautz, Erdem Bıyık, Hongxu Yin^†, Sifei Liu^†, Xiaolong Wang^†

RSS 2025

[Paper] [VLA Code] [Locomotion Code] [Website]

Comparative Language Feedback teaser

Trajectory Improvement and Reward Learning from Comparative Language Feedback

Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca Dragan, Erdem Bıyık

HRI 2024 Human-Interactive Robot Learning Workshop

CoRL 2024

[Paper] [Code] [Website]

Quadrotor swarm collision avoidance teaser

Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning

Zhehui Huang^*, Zhaojing Yang^*, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, Gaurav S. Sukhatme

ICRA 2024

[Paper] [Code] [Website]

QuadSwarm simulator teaser

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control

Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James Alan Preiss, Baskın Şenbaşlar, Zhaojing Yang, Gaurav S. Sukhatme

ICRA 2023 The Role of Robotics Simulators for Unmanned Aerial Vehicles Workshop

[Paper] [Code]