Fan, Linxi

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Mandlekar, A., Nasiriany, S., Wen, B., Akinola, I., Narang, Y., Fan, L., Zhu, Y., & Fox, D. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 226

Voyager: An Open-Ended Embodied Agent with Large Language Models

Wang, G., Xie, Y., Jiang, Y., Mandlekar, A., Xiao, C., Zhu, Y., Fan, L., & Anandkumar, A. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 222

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

VIMA: General Robot Manipulation with Multimodal Prompts

Jiang, Y., Gupta, A., Zhang, Z., Wang, G., Dou, Y., Chen, Y., Fei-Fei, L., Anandkumar, A., Zhu, Y., & Fan, L. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 95

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Fan, L., Wang, G., Jiang, Y., Mandlekar, A., Yang, Y., Zhu, H., Tang, A., Huang, D.-A., Zhu, Y., & Anandkumar, A. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 72

MimicPlay: Long-horizon imitation learning by watching human play

Wang, C., Fan, L., Sun, J., Zhang, R., Fei-Fei, L., Xu, D., Zhu, Y., & Anandkumar, A. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 43

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning

Jiang, Z., Xie, Y., Lin, K., Xu, Z., Wan, W., Mandlekar, A., Fan, L. J., & Zhu, Y. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 24

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

NVIDIA, :, Bjorck, J., Castañeda, F., Cherniadev, N., Da, X., Ding, R., Fan, L. "., Fang, Y., Fox, D., et al. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 10

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Chen, Y., Xue, F., Li, D., Hu, Q., Zhu, L., Li, X., Fang, Y., Tang, H., Yang, S., Liu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

World Simulation with Video Foundation Models for Physical AI

NVIDIA, :, Ali, A., Bai, J., Bala, M., Balaji, Y., Blakeman, A., Cai, T., Cao, J., Cao, T., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1

EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data

Zheng, R., Niu, D., Xie, Y., Wang, J., Xu, M., Jiang, Y., Castañeda, F., Hu, F., Tan, Y. L., Fu, L., et al. (2026) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 0

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning

Luo, Z., Tessler, C., Lin, T., Yuan, Y., He, T., Xiao, W., Guo, Y., Chechik, G., Kitani, K., Fan, L., et al. (2025) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 0