Zhu, Yifeng

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

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

Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation

Zhu, Y., Stone, P., & Zhu, Y. (2022) · IEEE Robotics and Automation Letters

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 50

Human Gaze Assisted Artificial Intelligence: A Review

Zhang, R., Saran, A., Liu, B., Zhu, Y., Guo, S., Niekum, S., Ballard, D., & Hayhoe, M. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Gaze Tracking and Assistive TechnologyVisual Attention and Saliency Detection

Cited by 48

Okami: Teaching humanoid robots manipulation skills through single video imitation

Li, J., Zhu, Y., Xie, Y., Jiang, Z., Seo, M., Pavlakos, G., & Zhu, Y. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 3