Xiang Fei

Xiang Fei

Master of Science in Robotics (MSR)

Carnegie Mellon University

About Me

I am a M.S. in Robotics (MSR) student in the Robotics Institute at Carnegie Mellon University (CMU), advised by Prof. Howie Choset at the Biorobotics Lab. I’m also working closely with Prof. Sebastian Scherer at the CMU AirLab. Before joining CMU, I received my Bachelor’s degree in Computer Science and Engineering from The Chinese University of Hong Kong, Shenzhen (CUHKSZ) in 2024, and I’m honored to be advised by Prof. Junhua Zhao.

My research interests lie in achieving robust robotic systems that enable long-term autonomous mobility and comprehensive environmental perception and understanding under challenging conditions, such as confined spaces, severe illumination changes, dynamic objects, etc. My current research focuses on Multi-sensor SLAM and Learning-based SLAM. In addition to localization, mapping, and perception algorithms, I am now also very interested in navigation and control for autonomous systems, and also the hardware prototype design.

Outside of research, I enjoy basketball, hiking and touring, race car, LEGO, PC games, and accompanying my fiancΓ©e Waiwai! Check out my misc page for more non-research stuff :)

Interests
  • Robotics
  • Simultaneous Localization and Mapping
  • Deep Learning
Education
  • M.S. in Robotics, 2024-2026

    Carnegie Mellon University

  • Visiting Student, 2023 Spring

    University of California, Berkeley

  • B.Eng. in Computer Science and Engineering, 2020-2024

    The Chinese University of Hong Kong, Shenzhen

Recent News

All News»

[Jun 2025] Our paper Bag of Word Groups (BoWG): A Robust and Efficient Loop Closure Detection Method Under Perceptual Aliasing has been accepted by IROS 2025 πŸ₯³.

[Aug 2024] Our paper Carbon market risk estimation using quantum conditional generative adversarial network and amplitude estimation is published by Energy Conversion and Economics.

[Jul 2024] Our paper Power system fault diagnosis with quantum computing and efficient gate decomposition is published by Scientific Report (JCR Q1).

[May 2024] Undergraduate Graduation πŸŽ‰! I graduated with the first class honours from The Chinese University of Hong Kong, Shenzhen.

[Apr 2024] Waiwai is admitted by MS in Information Networking (MSIN) program at CMU, congratulations to her!!! We can go to CMU together πŸ₯³!

Publications

MAC-VI-Init: Robust Visual-Inertial Initialization and Calibration with Learning-based Features and Uncertainty
MAC-VI-Init: Robust Visual-Inertial Initialization and Calibration with Learning-based Features and Uncertainty
Bag of Word Groups (BoWG): A Robust and Efficient Loop Closure Detection Method Under Perceptual Aliasing
Bag of Word Groups (BoWG): A Robust and Efficient Loop Closure Detection Method Under Perceptual Aliasing

Other Research Projects

Visual-Laser-Inertial SLAM for 3D Reconstruction of Confined Pipes
This work extended a compact, low-cast visual-laser-inertial SLAM-based 3D scanner to narrow pipe environments.
Photorealistic-3D-Reconstruction-with-Multi-view-Stereo
Multi-View Stereo with Broad Adaptive Checkerboard Sampling and Dynamic Multi-Hypothesis Joint View Selection, improvements based on ACMM
3D Reconstruction of the Gastrointestinal Tract and Sinus Surface
This task involved creating 3D reconstructions of the gastrointestinal tract and sinus surface using a monocular endoscope. The main goal of this project was to document the endoscopy process in 3D and to help doctors realize a more comprehensive examination.

Experience

 
 
 
 
 
CMU - Biorobotics Lab
Research Assistant of CMU
CMU - Biorobotics Lab
Jun 2023 – Present Pittsburgh
Mentor: Prof. Howie Choset
 
 
 
 
 
Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
Undergraduate Researcher of AIRS
Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
Dec 2021 – May 2024 Shenzhen
Mentor: Prof. Junhua Zhao
 
 
 
 
 
CUHKSZ - Energy Internet Lab
Research Assistant of CUHKSZ
CUHKSZ - Energy Internet Lab
Dec 2021 – May 2024 Shenzhen
Mentor: Prof. Junhua Zhao
 
 
 
 
 
Shenzhen Research Institute of Big Data - Human Language Technology Laboratory
Undergraduate Researcher of Human Language Technology Laboratory
Shenzhen Research Institute of Big Data - Human Language Technology Laboratory
Sep 2022 – Feb 2023 Shenzhen
Mentor: Prof. Haizhou Li
 
 
 
 
 
Winning Health Technology Group Co.,Ltd
Computer Vision Algorithm Engineer
Winning Health Technology Group Co.,Ltd
Jul 2022 – Sep 2022 Shanghai
 
 
 
 
 
CUHKSZ
Teaching Assistant of CUHKSZ (Discrete Mathematics)
CUHKSZ
Sep 2022 – Dec 2022 Shenzhen
 
 
 
 
 
Shenzhen TeaBreak Network Technology Co., Ltd
Back-end Developer (Department Head)
Shenzhen TeaBreak Network Technology Co., Ltd
Dec 2020 – Jan 2022 Shenzhen

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