2025 IEEE RAS Early Academic Career Award in Robotics and Automation
Yuke Zhu The University of Texas at Austin United States of America
For groundbreaking contributions to robot learning and embodied artificial intelligence, and broadly used open-source software platforms for robot learning.
Yuke Zhu is an Assistant Professor in the Computer Science Department of UT-Austin, where he directs the Robot Perception and Learning (RPL) Lab. He also co-leads the Generalist Embodied Agent Research (GEAR) group at NVIDIA Research, building robotics foundation models. He focuses on developing intelligent algorithms for generalist robots to reason about and interact with the real world. His research spans robotics, computer vision, and machine learning. He received his Master's and Ph.D. degrees from Stanford University. His work has won various awards and nominations, including the Best Conference Paper Award in ICRA 2019, 2024, the Outstanding Learning Paper Award at ICRA 2022, and the Outstanding Paper Award at NeurIPS 2022. He received the NSF CAREER Award, JP Morgan Chase Faculty Fellowship in AI, and multiple faculty awards from Amazon, JP Morgan, Sony Research, etc.
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