Yuke Zhu

Yuke Zhu is an Assistant Professor in the Department of Computer Science at The University of Texas at Austin, directing the Robot Perception and Learning Lab. His research spans robotics, computer vision, and machine learning, focusing on general-purpose robot autonomy through perception-action integration.

• Key Affiliations: University of Texas at Austin (Department of Computer Science), Stanford University (Ph.D. alumnus)

Research Focus

His work explores:

• Robotic perception and decision-making in unstructured environments
• Embodied AI frameworks for active, situated agents
• Sim-to-real transfer and humanoid whole-body control
• Collaborative methods drawing from neuroscience and philosophy

Scientific Contributions

• Google Scholar profile with 15+ recent publications on visuomotor policies, deformable object manipulation, and robotic foundation models
• Recipient of the IEEE RAS Early Career Award
• Developer of open-source frameworks like robosuite and RoboCasa for robotic simulation

Lab Leadership

The RPL Lab actively investigates robotics and embodied AI, emphasizing:

• Closing perception-action loops for autonomous systems
• Computational frameworks for open-world interactions
• Collaborative research with six ICRA 2025 papers