Lingxiao Guo

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I am a first-year Master student at Robotics Institute, Carnegie Mellon University, advised by Guanya Shi. I received my Bachelor degree from Shanghai Jiao Tong University (2025). Previously, I was fortunate to be advised by Huazhe Xu at Tsinghua IIIS.

My research interests lie in Robotics and Embodied AI. I focus on reinforcement learning, self-supervised learning and building data flywheels for robot foundation models. My research objective is to enable robot truly understand real-world physics, and can work in complex environments with generalizability and agility.


  Publications
  * indicates equal contribution; † indicates core contribution.

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
Kun Lei*, Huanyu Li*, Dongjie Yu*, Zhenyu Wei*, Lingxiao Guo, Zhennan Jiang, Ziyu Wang, Shiyu Liang, Huazhe Xu

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration
Lingxiao Guo, Zhengrong Xue, Zijing Xu, Huazhe Xu
CoRL 2025 (Oral)

Generalized Locomotion in Out-of-distribution Conditions with Robust Transformer
Lingxiao Guo, Yue Gao
IROS 2025 (Oral)

Balancing Efficiency and Unpredictability in Multi-robot Patrolling: A MARL-Based Approach
Lingxiao Guo, Haoxuan Pan, Xiaoming Duan, Jianping He
ICRA 2023

paper | code

  Talks


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