Yuke Zhu

Assistant Professor
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’s publications have won several awards and nominations, and his work has been covered by media outlets, such as MIT Technology Review and Stanford News. In addition, he’s had research collaborations with Snap Research, Allen Institute for Artificial Intelligence, and DeepMind Technologies.


Research Interests: 
  • Robot learning

  • Interactive perception

  • Robot manipulation

Current Research: 

Dr. Zhu’s research lies at the intersection of robotics, machine learning, and computer vision. He develops computational methods of perception and control that give rise to intelligent robot behaviors. Through his work, Dr. Zhu aspires to teach robots to understand and interact with the surrounding visual world.

Awards & Honors

2022 - Outstanding Paper Award, NeurIPS
2022 - Outstanding Learning Paper Award, ICRA
2022 - NSF CAREER Award
2019 - Best Conference Paper Award, ICRA