Nikola Kang | 康雷

I received my M.S. from Peking University, advised by Prof. Yunfeng Xiao. I received my B.S. in Computer Science from Beijing Jiaotong University.

My research focuses on scalable embodied learning, with the goal of enabling robots to acquire general-purpose skills through large-scale interaction. I investigate the complete embodied learning pipeline, including realistic simulation environments, scalable interaction data generation, vision-language-action (VLA) learning, and systematic evaluation. Through this line of research, I seek to understand how better environments, richer data, and more effective learning algorithms can jointly improve the capability and generalization of embodied agents in complex physical worlds.

Email  /  GitHub  /  Google Scholar