Hi, I am Yibin!
I am a first-year Ph.D. student in Computer Science at Northwestern University, where I am a member of the Xenobot Lab advised by Prof. Sam Kriegman.
Previously, I earned my Bachelor’s degree in Computer Science and Mathematics, as well as my Master’s degree in Computer Science, from NYU Courant. I was fortunate to be advised by Prof. Lerrel Pinto and Prof. Lakshminarayanan Subramanian.
My research focuses on robot learning, with experience in real-world robotic manipulation, dataset creation, data processing, and multimodal manipulation experiments across both simulated and physical environments. I am currently working on combining evolutionary algorithms with machine learning to co-optimize robot morphologies and control policies. More broadly, I study how representations of robot design and behavior spaces can improve generalization, adaptation, and co-optimization in embodied systems. I am also interested in vision-language-action models and world models for robotic task and action planning.
Publications
ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots (Paper | Project Site)
Yibin Wang, Muhan Li, Zihan Guo, Sam Kriegman
International Conference on Machine Learning, 2026
EduBot – Can LLMs Solve Personalized Learning and Programming Assignments? (Paper | Workshop Site)
Yibin Wang*, Jiaxi Xie*, Lakshmi Subramanian
Annual AAAI Conference on Artificial Intelligence, AI4EDU Workshop, 2025
Behavior Generation with Latent Actions (Paper | Project Site)
Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
Spotlight (Top 3.5%), International Conference on Machine Learning, 2024
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data (Paper | Project Site)
ZiChen Jeff Cui, Yibin Wang, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
Notable Top 5% (Oral), International Conference on Learning Representations, 2023
