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2020 – today
- 2024
[c2]Carl Qi, Yilin Wu, Lifan Yu, Haoyue Liu, Bowen Jiang, Xingyu Lin, David Held:
Learning Generalizable Tool-use Skills through Trajectory Generation. IROS 2024: 2847-2854- [i6]Carl Qi, Edward Sun, Harry Zhang:
Towards Improving Learning from Demonstration Algorithms via MCMC Methods. CoRR abs/2405.02243 (2024) - [i5]Caleb Chuck, Carl Qi, Michael J. Munje, Shuozhe Li, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum:
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. CoRR abs/2405.03113 (2024) - 2023
- [i4]Carl Qi, Sarthak J. Shetty, Xingyu Lin, David Held:
Learning Generalizable Tool-use Skills through Trajectory Generation. CoRR abs/2310.00156 (2023) - 2022
- [j1]Carl Qi
, Xingyu Lin, David Held:
Learning Closed-Loop Dough Manipulation Using a Differentiable Reset Module. IEEE Robotics Autom. Lett. 7(4): 9864-9871 (2022) - [c1]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL 2022: 1640-1651 - [i3]Carl Qi, Pieter Abbeel, Aditya Grover:
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning. CoRR abs/2204.03597 (2022) - [i2]Carl Qi, Xingyu Lin, David Held:
Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module. CoRR abs/2207.04638 (2022) - [i1]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR abs/2210.15751 (2022)
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