Zhang, Ruohan

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Huang, W., Wang, C., Li, Y., Zhang, R., & Fei-Fei, L. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 288

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

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Wang, C., Shi, H., Wang, W., Zhang, R., Fei-Fei, L., & Liu, C. K. (2024) · arXiv

Human Motion and AnimationRobot Manipulation and Learning

Cited by 97

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Huang, W., Wang, C., Zhang, R., Li, Y., Wu, J., & Fei-Fei, L. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 81

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

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

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L. E., Zhang, R., et al. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

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Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L., Zhang, R., et al. (2024) · Advances in Neural Information Processing Systems 37

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Li, C., Zhang, R., Wong, J., Gokmen, C., Srivastava, S., Martín-Martín, R., Wang, C., Levine, G., Ai, W., Martinez, B., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 6