Jiang, Yunfan

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

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

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

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