About Me

I am a Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by Dorsa Sadigh and Jeannette Bohg. Currently, I am working on AI for robotics in Intelligent and Interactive Autonomous Systems Group (ILIAD) and Interactive Perception and Robot Learning Lab (IPRL). I am broadly interested in the intersection of artificial intelligence (AI), robot manipulation, human robot interaction, and multi-agent systems.

Before coming to Stanford, I received my B.S. degree from Tsinghua University in 2018. During my undergraduate years, I was fortunate to work in TSAIL Group under the supervision of Prof. Jun Zhu. I was also lucky to have the opportunities to work with Raquel Urtasun during an internship at University of Toronto.

Publications

  1. Learning Feasibility to Imitate Demonstrators with Different Dynamics.
    Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh.
    Proceedings of the 5th Conference on Robot Learning (CoRL), November 2021

  2. Influencing Leading and Following in Human-Robot Teams.
    Mengxi Li, Minae Kwon*, Dorsa Sadigh.
    Journal of Autonomous Robots (AURO), 2021

  3. Learning Latent Actions to Control Assistive Robots.
    Dylan Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh.
    Journal of Autonomous Robots (AURO), 2021
    arXiv

  4. Learning Human Objectives from Sequences of Physical Corrections.
    Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh.
    International Conference on Robotics and Automation (ICRA), May 2021.
    arXiv / talk

  5. Learning User-Preferred Mappings for Intuitive Robot Control.
    Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh.
    Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2020.
    arXiv / website / talk

  6. Learning from My Partner's Actions: Roles in Decentralized Robot Teams.
    Dylan P. Losey*, Mengxi Li*, Jeannette Bohg, Dorsa Sadigh.
    Proceedings of the 3rd Conference on Robot Learning (CoRL), October 2019. (Oral)
    arXiv / website / blogpost / talk

  7. Influencing Leading and Following in Human-Robot Teams.
    Minae Kwon*, Mengxi Li*, Alexandre Bucquet, Dorsa Sadigh.
    Proceedings of Robotics: Science and Systems (RSS), June 2019.
    blogpost / talk

  8. Smooth Neighbors on Teacher Graphs for Semi-supervised Learning.
    Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight)
    Best paper award at NeurIPS 2017 Workshop on Learning with Limited Labeled Data.
    poster / code

Academic Services

Workshop Organizer: ICRA 2021: Social Intelligence in Humans and Robots

Conference Reviewer: ICRA 2019, IROS 2020, RA-L, ICRA 2021