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Author

Guanzhi Wang

Observed name: Wang, Guanzhi
ORCID: 0009-0004-1921-1796
Observed ORCID: 0009-0004-1921-1796
OpenAlex ID: A5126405010
Voyager: An Open-Ended Embodied Agent with Large Language Models
2023 · Wang, Guanzhi, Xie, Yuqi, et al. · arXiv (Cornell University) · 221
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0
2024 · Abby O’Neill, Abdul Rehman, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 191
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes
2021 · Bokui Shen, Fei Xia, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 182
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LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
2019 · Qiao Gu, Guanzhi Wang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 125
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023 · Embodiment Collaboration, O'Neill, Abby, et al. · arXiv (Cornell University) · 110
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VIMA: General Robot Manipulation with Multimodal Prompts
2022 · Jiang, Yunfan, Gupta, Agrim, et al. · CaltechAUTHORS (California Institute of Technology) · 94
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MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
2022 · Fan, Linxi, Wang, Guanzhi, et al. · arXiv (Cornell University) · 72
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Eureka: Human-Level Reward Design via Coding Large Language Models
2023 · Ma, Yecheng Jason, Liang, William, et al. · arXiv (Cornell University) · 71
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RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
2020 · Linxi Fan, Shyamal Buch, et al. · Lecture notes in computer science · 67
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
2021 · Yanan Sun, Guanzhi Wang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 61
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MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
2022 · Linxi Fan, Guanzhi Wang, et al. · neural information processing systems · 21
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
2025 · NVIDIA, :, et al. · arXiv (Cornell University) · 9
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DreamGen: Unlocking Generalization in Robot Learning through Video World Models
2025 · Jang, Joel, Ye, Seonghyeon, et al. · arXiv (Cornell University) · 1
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World-Action Models for Robot Learning and Control: A Survey
2026 · Lu, Zuxing, Zhai, Hongjia, et al. · arXiv (Cornell University)
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Human-inspired time-series health evaluation with an adaptive multimodal electronic skin
2026 · Changhao Xu, Hongkai Zheng, et al. · Science Advances
GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
2026 · Chen, Kaiyuan, Xie, Shuangyu, et al. · arXiv (Cornell University)
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ASPIRE: Agentic /Skills Discovery for Robotics
2026 · Lu, Runyu, Wu, Yubo, et al. · arXiv (Cornell University)
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ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
2026 · Xiao, Wenli, Xie, Jia, et al. · arXiv (Cornell University)
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CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
2026 · Fu, Letian, Yu, Justin, et al. · arXiv (Cornell University)
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World Action Models are Zero-shot Policies
2026 · Ye, Seonghyeon, Ge, Yunhao, et al. · arXiv (Cornell University)
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Building Foundation Agents with Internet Knowledge and Large Language Models
2026 · Wang, Guanzhi · Caltech Library
NitroGen: An Open Foundation Model for Generalist Gaming Agents
2026 · Magne, Loïc, Awadalla, Anas, et al. · arXiv (Cornell University)
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FLARE: Robot Learning with Implicit World Modeling
2025 · Zheng, Ruijie, Wang, Jing, et al. · arXiv (Cornell University)
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PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
2024 · Light, Jonathan, Xing, Sixue, et al. · arXiv (Cornell University)
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Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search
2024 · Light, Jonathan, Cai, Min, et al. · arXiv (Cornell University)
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Works count: 32
Citation count: 1,241
H-index: 12
I10-index: 12
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