Presenter
Biography
Yuke Zhu is an assistant professor in the Computer Science Department of the University of Texas at Austin, where he directs the Robot Perception and Learning (RPL) Lab. He is a core faculty member at Texas Robotics, the Machine Learning Laboratory, and the Center for Perceptual Systems. He also co-leads the Generalist Embodied Agent Research (GEAR) Lab at NVIDIA Research, which builds foundation models for embodied agents in virtual and physical worlds, particularly for humanoid robots.
Yuke focuses on developing intelligent algorithms for generalist robots and embodied agents to reason about and interact with the real world. His research spans robotics, computer vision, and machine learning. He received his master's degree and PhD from Stanford University. His work has won various awards and nominations, including the Best Conference Paper Award at ICRA 2019 and 2024, the Outstanding Learning Paper Award at ICRA 2022, and the Outstanding Paper Award at NeurIPS 2022. He has received the NSF CAREER Award and faculty awards from Amazon, JP Morgan, and Sony Research.
Yuke focuses on developing intelligent algorithms for generalist robots and embodied agents to reason about and interact with the real world. His research spans robotics, computer vision, and machine learning. He received his master's degree and PhD from Stanford University. His work has won various awards and nominations, including the Best Conference Paper Award at ICRA 2019 and 2024, the Outstanding Learning Paper Award at ICRA 2022, and the Outstanding Paper Award at NeurIPS 2022. He has received the NSF CAREER Award and faculty awards from Amazon, JP Morgan, and Sony Research.
Presentations