Yixiao (Caleb) Feng

Hi there! I am Yixiao Feng. I am a first-year Ph.D. student at Humanoid Computing Lab, Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Renjing Xu. Previously, I received my M.EngSc degree in Robotics 🤖 at University of New South Wales (UNSW) in 2025, supervised by Dr. Jose Guivant. Prior to that, I obtained my B.Eng. degree from Beijing University of Chemical Technology (BUCT).

My current research interest lies in Humanoid Robots, encompassing Whole-body Control (WBC) 🤺 and Perception 🧠. I aim to make humanoid robots understand the world and do things like humans.

If you are interested in collaborating or discussing any topics related to robotics, feel free to reach me out!

Email  /  Scholar  /  Github  /  LinkedIn  /  X  /  Wechat  /  Xiaohongshu

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Recent News

  • [09/2025] 🎓 Thrilled to start my Ph.D. journey at HKUST(GZ)!
  • [06/2025] 🎉 Two works were accepted by IROS 2025.
  • [01/2025] 🎓 Graduated from UNSW with M.EngSc in Robotics (with Excellence)!
  • [01/2024] 🎉 Our work of BM-Loc was accepted by ICRA 2024.

Publications

*: equal contribution; †: corresponding author(s)
dise Block-Map-Based Localization in Large-Scale Environment
Yixiao Feng*, Zhou Jiang*, Yongliang Shi†, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou

ICRA 2024 (Oral)
[arXiv] [Video]

Education

Hong Kong University of Science and Technology (Guangzhou)

Ph.D. in Robotics and Autonomous Systems, supervised by Prof. Renjing Xu
Humanoid Computing Lab
Sep. 2025 - Present

University of New South Wales

M.EngSc in Robotics (with Excellence), supervised by Dr. Jose Guivant
Feb. 2023 - Jan. 2025

Beijing University of Chemical Technology

B.Eng. in Mechanical Design, Manufacturing and Its Automation
Ex-president of SIE Robotics Club
Sep. 2018 - Jun. 2022


Research Experiences

Hong Kong University of Science and Technology (Guangzhou)

Research Assistant, supervised by Prof. Renjing Xu
Humanoid Computing Lab
Jun. 2025 - Sep. 2025

Beijing National Research Center for Information Science and Technology

Research Intern, co-supervised by Dr. Yongliang Shi and Dr. Weining Lu
Dec. 2024 - May 2025

Institute for AI Industry Research, Tsinghua University

Research Intern, co-supervised by Dr. Yongliang Shi and Prof. Guyue Zhou
ARX, DISCOVER Lab
Oct. 2021 - Dec. 2022

Professional Services

  • Conference Reviewer: IROS 2025

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