Fang, Kuan

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

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Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

Fang, K., Toshev, A., Fei-Fei, L., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 178

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Jiang, Z., Zhu, Y., Svetlik, M., Fang, K., & Zhu, Y. (2021) · arXiv

Robot Manipulation and Learning3D Shape Modeling and Analysis

Cited by 122

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Jiang, Z., Zhu, Y., Svetlik, M., Fang, K., & Zhu, Y. (2021) · Robotics: Science and Systems XVII

Robot Manipulation and Learning3D Shape Modeling and Analysis

Cited by 122

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

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BridgeData V2: A Dataset for Robot Learning at Scale

Walke, H., Black, K., Lee, A., Kim, M. J., Du, M., Zheng, C., Zhao, T., Hansen-Estruch, P., Vuong, Q., He, A., et al. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 12

MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Liu, F., Fang, K., Abbeel, P., & Levine, S. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 8