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!
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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]
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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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