Li, Xuanlin
University of California San Diego
6 papers on CoChatORCID 0009-0004-2848-1851
Most cited papers
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0
O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 210
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 111
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ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Mu, T., Ling, Z., Xiang, F., Yang, D., Li, X., Tao, S., Huang, Z., Jia, Z., & Su, H. (2021) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 34
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ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Gu, J., Xiang, F., Li, X., Ling, Z., Liu, X., Mu, T., Tang, Y., Tao, S., Wei, X., Yao, Y., et al. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 23
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Improving Policy Optimization with Generalist-Specialist Learning
Jia, Z., Li, X., Ling, Z., Liu, S., Wu, Y., & Su, H. (2022) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 10
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Evaluating Real-World Robot Manipulation Policies in Simulation
Li, X., Hsu, K., Gu, J., Pertsch, K., Mees, O., Walke, H. R., Fu, C., Lunawat, I., Sieh, I., Kirmani, S., et al. (2024) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 4
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