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Yuke Zhu | Department of Computer Science Dr Yuke Zhu is a leading mind in robot vision and learning Dr Zhu received his master’s and PhD from Stanford University His doctoral thesis centers around closing the perception-action loop to make robot intelligence more generalized and applicable to less-controlled environments As an undergraduate, he received dual degrees from Zhejiang University and Simon Fraser University Dr Zhu
UT Austin Robot Perception and Learning Lab Recent News Yuke Zhu received the IEEE RAS Early Career Award for his work on robot learning and open-source software We released a new talk "Data Pyramid and Data Flywheel for Robotic Foundation Models" that summarizes our research vision and recent works See the slides and video here Our lab has six papers accepted at ICRA 2025 See you there in Atlanta! We released robosuite v1 5
Yuke Zhu - University of Texas at Austin [87] Weikang Wan, Yifeng Zhu*, Rutav Shah*, Yuke Zhu LOTUS: Continual Imi-tation Learning for Robot Manipulation Through Unsupervised Skill Discovery IEEE International Conference on Robotics and Automation (ICRA), 2024 [86] Jake Grigsby, Linxi Fan, Yuke Zhu AMAGO: Scalable In-Context Rein-forcement Learning for Adaptive Agents
Publications - UT Austin Robot Perception and Learning Lab Paper Project Video Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Martín-Martín, Yuke Zhu Conference on Robot Learning (CoRL), September 2025 Paper Project FLARE: Robot Learning with Implicit World
Yuke Zhu Earns IEEE Early Career Award for Groundbreaking Contributions . . . Assistant Professor Yuke Zhu has been named one of five IEEE’s Early Career Award winners for “groundbreaking contributions” in embodied artificial intelligence and robot learning Zhu’s work, which has been cited over 24,000 times, focuses on autonomous robots, machine learning and these mechanisms interacting with the real world
for Robotic Foundation Models Data Pyramid and Data Flywheel for Robotic Foundation Models Yuke Zhu UT Austin NVIDIA Building Robotic Foundation Models One “AI Brain” for All (Humanoid) Robots