Xilun Zhang

I am a Master Student at Carnegie Mellon University SafeAI Lab supervised by Ding Zhao. I work closely with Peide Huang and Mengdi Xu. Previously, I was a Research Assistant at Multi-Agent Robotic System Lab , under the guidance of Xubo Lyu and Prof.Mo Chen. I completed my bachelor's degree with distinction from Simon Fraser University School of Mechatronic Systems Engineering, and completed my Capstone Project on self-driving cars in Autonomous & Intelligent Systems Lab with Prof. Ahmad Rad.

I am passionate about intelligent decision-making algorithms with applications in Robotics and Autonomous Driving. I am particulary interested in robot learning and how to make learning algorithms fastly and continously adapt to unseen environments.

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News

2023/08 - Our paper about using LLMs+Robotics+Tool Use is online now! Also check the twitter post for interesting demos and join the discussion!
2023/08 - Our paper about closing the sim-to-real gap thourgh causal discovery got accepted by CoRL 2023 for a poster presentation, congratulations to Peide!
2023/08 - Our paper about continual vision-based RL got accepted by CoRL 2023 for an oral presentation, congratulations to Shiqi and Mengdi!


Selected Publications

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Continual Vision-based Reinforcement Learning with Group Symmetries

Shiqi Liu*, Mengdi Xu*, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
Conference on Robot Learning (CoRL), 2023. (oral, 6.6%) * indicates equal contribution.
Abridged in RSS 2023 Workshop on Symmetries in Robot Learning.
[paper] [webpage]
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What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery

Peide Huang, Xilun Zhang*, Ziang Cao*, Shiqi Liu*, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
Conference on Robot Learning (CoRL), 2023. * indicates equal contribution.
Abridged in IROS 2023 Workshop on Causality for Robotics: Answering the Question of Why.
[paper] [webpage]
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Creative Robot Tool Use with Large Language Models

Mengdi Xu*, Peide Huang*, Wenhao Yu*, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao
arxiv, under review * indicates equal contribution.
Abridged in CoRL 2023 Workshop on Language and Robot Learning.
[paper] [webpage]


Teaching

Course Assistant of 24-767 Modern Control: Theory and Design, Carnegie Mellon University, Fall 2023
Course Assistant of 24-784 Trustworthy AI Autonomy, Carnegie Mellon University, Spring 2024


Projects

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Generalizable BeamWalking for Legged Robots with Reinforcement Learning

Xilun Zhang, Changyi Lin, Zongyuan Wu, Jian Chen
16-831: Intro to Robot Learning(by Deepak Pathak)



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