I am a fifth year Ph.D. candidate in the Department of Statistics, UCLA.
My research lies in the intersection of Robotics, Computer Vision, Machine Learning and Cognitive Science, with a focus on Human-Machine Interaction and Explainable AI.Currently I'm working in the Center for Vision, Cognition, Learning, and Autonomy (VCLA), under the supervision of Prof. Song-Chun Zhu. I also work closely with Prof. Hongjing Lu (UCLA), Prof. Gaurav Sukhatme (USC & Amazon Alexa AI) and Dr. Tianmin Shu (MIT). Before that, I obtained a bachelor degree of Electronic Engineering at Fudan University.
06/2022: I defended my PhD dissertation.
04/2022: One paper on the effects of AR-based human-machine interface on drivers' situational awareness has been accepted by IV 2022.
02/2022: Our paper on robot capability calibration is covered by TechXplore.
01/2022: Our paper "Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration" has been accepted by IEEE Robotics and Automation Letters.
05/2021: Our paper "Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration" has been accepted for a spotlight presentation at the ICRA Workshop on Social Intelligence in Humans and Robots. [Link]
01/2021: We presented our paper "Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks" at IJCAI 2020 Workshop on XAI. [Link]
01/2021: I started my internship at Honda Research Institute USA [Link]. I would be working on projects related to Human-Machine Interaction.
07/2020: One paper got accepted by RO-MAN 2020. [Link]
05/2019: One paper got accepted by ICML workshop on Reinforcement Learning for Real Life. [Link]
03/2019: VRKitchen was covered by TechXplore. [Link]
03/2019: I was invited as a reviewer for IROS 2019.
03/2019: I passed the Oral Qualifying Exam and advanced to candidancy!
Tianmin Shu,
Xiaofeng Gao,
Michael S. Ryoo,
Song-Chun Zhu
IEEE International Conference on Robotics and Automation (ICRA), 2017
Xiaofeng Gao,
Ran Gong,
Tianmin Shu,
Xu Xie,
Shu Wang,
Song-Chun Zhu
ICML workshop on Reinforcement Learning for Real Life, 2019
Xiaofeng Gao,
Ran Gong,
Yizhou Zhao,
Shu Wang,
Tianmin Shu,
Song-Chun Zhu
International Conference on Robot & Human Interactive Communication (RO-MAN), 2020
Xiaofeng Gao,
Luyao Yuan,
Tianmin Shu,
Hongjing Lu,
Song-Chun Zhu
IEEE Robotics and Automation Letters (RA-L), 2022