Research
I'm broadly interested in Reinforcement Learning, Computer Vision, and Robotics. My specific interests include representation learning,
long-horizon reasoning, and multi-task learning. My long-term research goal is to allow autonomous agents to act and learn in unstructured
real world environments.
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Learning Generalizable Tool-use Skills through Trajectory Generation
Carl Qi*,
Yilin Wu*,
Lifan Yu,
Haoyue, Liu,
Bowen Jiang,
Xingyu Lin**
David Held**
preprint, 2023
Paper
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Project Page
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Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Xingyu Lin*,
Carl Qi*,
Yunchu Zhang,
Zhiao Huang,
Katerina Fragkiadaki,
Yunzhu Li,
Chuang Gan,
David Held
Conference on Robot Learning (CoRL), 2022
Paper
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OpenReview
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Project Page
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Code
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Learning Closed-loop Dough Manipulation using a Differentiable Reset Module
Carl Qi,
Xingyu Lin,
David Held
IEEE Robotics and Automation Letters (RA-L), 2022
Paper
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Project Page
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Code
Covered by
[The Washington Post]
[CMU SCS News (robots roll dough)]
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Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning
Carl Qi,
Pieter Abbeel,
Aditya Grover
Preprint, 2022
Paper
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TA, 10-418/618: ML for Structured Data, Spring 2022
TA, 10-725: Convex Optimization, Fall 2021
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Instructor, CS188: Artificial Intelligence, Summer 2021
TA, CS188: Artificial Intelligence, Spring 2021
TA, CS188: Artificial Intelligence, Fall 2020
TA, CS188: Artificial Intelligence, Spring 2020
TA, CS188: Artificial Intelligence, Fall 2019
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Website source taken from here.
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