Zipeng Fu
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I'm a cofounder and the CEO of Reward AI. previous life:I completed my PhD in computer science at the Stanford AI Lab in 2.5 years, advised by Chelsea Finn. I was a researcher at Google DeepMind, working with Jie Tan. My research was supported by the Pierre and Christine Lamond Fellowship. Previously, I completed my master's degree in the Machine Learning Department and worked as a researcher in the Robotics Institute at CMU, advised by Deepak Pathak and Jitendra Malik. I completed my bachelor's degree in computer science and applied mathematics at UCLA, advised by Song-Chun Zhu. My research interests lie at the intersection of robotics, machine learning, and computer vision. I care about robust robot performance and deployable robot systems in the unstructured open world. |
Reward AI
Publications
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HumanPlus: Humanoid Shadowing and Imitation from Humans |
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Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation Media Coverage: The Economist | MIT Technology Review | TechCrunch | The Economic Times | SCMP | Chosun Ilbo | CGTN | CNet | Stanford Report | VentureBeat |
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Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs |
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UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers |
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models Media Coverage: Google DeepMind |
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Robot Parkour Learning |
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Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion |
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Coupling Vision and Proprioception for Navigation of Legged Robots |
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Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots |
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RMA: Rapid Motor Adaptation for Legged Robots Media Coverage: Facebook AI | Wall Street Journal | TechCrunch | Forbes | Washington Post | DARPA | CNet | Synced Review | UC Berkeley | CMU |