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Xingyu LinPostdoc at UC Berkeley在 berkeley.edu 的电子邮件经过验证
David HeldAssociate Professor in the Robotics Institute, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Yunzhu LiAssistant Professor, Columbia University在 columbia.edu 的电子邮件经过验证
Katerina FragkiadakiAssociate Professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Chuang GanUMass Amherst | MIT-IBM Watson AI Lab在 csail.mit.edu 的电子邮件经过验证
Aditya GroverAssistant Professor of Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Pieter AbbeelUC Berkeley | Covariant在 cs.berkeley.edu 的电子邮件经过验证
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证

Carl Qi

UT Austin, UC Berkeley, Carnegie Mellon University

在 berkeley.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Planning with spatial-temporal abstraction from point clouds for deformable object manipulation X Lin, C Qi, Y Zhang, Z Huang, K Fragkiadaki, Y Li, C Gan, D Held arXiv preprint arXiv:2210.15751, 2022	28	2022
Learning closed-loop dough manipulation using a differentiable reset module C Qi, X Lin, D Held IEEE Robotics and Automation Letters 7 (4), 9857-9864, 2022	17	2022
Imitating, fast and slow: Robust learning from demonstrations via decision-time planning C Qi, P Abbeel, A Grover arXiv preprint arXiv:2204.03597, 2022	5	2022
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning C Chuck, C Qi, MJ Munje, S Li, M Rudolph, C Shi, S Agarwal, H Sikchi, ... arXiv preprint arXiv:2405.03113, 2024	2	2024
Learning generalizable tool-use skills through trajectory generation C Qi, S Shetty, X Lin, D Held arXiv preprint arXiv:2310.00156, 2023	2	2023
Towards Improving Learning from Demonstration Algorithms via MCMC Methods H Qi, E Sun, H Zhang arXiv preprint arXiv:2405.02243, 2024		2024

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