Yue Yang

Chapel Hill, NC, 27599

Hey there! I’m a Computer Science PhD student at The University of North Carolina at Chapel Hill (UNC-CH), lucky to be co-advised by Prof. Daniel J. Szafir and Prof. Gedas Bertasius.

Before coming to UNC, I earned my Master’s degree in Computer Science at Georgia Institute of Technology (GaTech), where I got to work with Prof. Matthew Gombolay and had the chance to collaborate with Prof. Greg Turk.

I’ve been super fortunate to learn from and work with these amazing folks. Excited for what comes next on this journey!

I believe in Slow Science.

News

Jun 15, 2025	One paper accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).
Jun 08, 2025	One paper accepted by IEEE RA-L.
Jan 15, 2025	One paper accepted by alt.HRI 2025.
Oct 16, 2024	💬 I present our IROS’24 paper at Abu Dhabi, UAE!

Selected publications

Check full publications 🏎️💨

BOSS: Benchmark for Observation Space Shift in Long-Horizon Task

Yue Yang, Linfeng Zhao, Mingyu Ding, and 2 more authors

IEEE Robotics and Automation Letters (RA-L), 2025

PDF

ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning

Yue Yang, Bryce Ikeda, Gedas Bertasius, and 1 more author

In Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Bib PDF

@inproceedings{yang2024arcade,
  title = {ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning},
  author = {Yang, Yue and Ikeda, Bryce and Bertasius, Gedas and Szafir, Daniel},
  booktitle = {Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding

Yue Yang, Letian Chen, Zulfiqar Zaidi, and 3 more authors

In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024

Bib PDF

@inproceedings{yang2024enhancing,
  title = {Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding},
  author = {Yang, Yue and Chen, Letian and Zaidi, Zulfiqar and van Waveren, Sanne and Krishna, Arjun and Gombolay, Matthew},
  booktitle = {Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  pages = {820--829},
  year = {2024},
}