Peize Li

Peize Li

PhD Student

University of Edinburgh

Biography

Hello! This is Peize Li (李沛泽). I am a second-year PhD student in the School of Informatics at the University of Edinburgh. I am a member of Machine Intelligence Group led by Prof. Timothy Hospedales, while also working with Dr. Shell Xu Hu and Dr. Alexandros Kouris. My PhD is fully funded by the School of Informatics. My research interest lies in robotic perception, with focus on radiance field, 3D reconstruction, and robot manipulation.

Previously I obtained my MSc Advanced Design Informatics from the University of Edinburgh while working as Research Intern of Dr. Chris Xiaoxuan Lu. I obtained my BSc degree in Physics at Yuanpei College of Peking Univeristy with research experience in quatum materials and high-energy physics. Between degrees, I worked as a Data Scientist at startup company Huarui.AI in Beijing and a Research Intern at Huawei UK R&D in Edinburgh.

Interests
  • Robotic Perception
  • Neural Radiance Field
  • 3D Reconstruction
  • Robot Manipulation
Education
  • PhD Robotics, 2026 (expected)

    University of Edinburgh

  • MSc Advanced Design Informatics, 2022

    University of Edinburgh

  • BSc Physics, 2019

    Peking University

Recent News

[01/10/2022] I started my PhD with the University of Edinburgh at IPAB: Robotics, Computer Vision, Computer Graphics and Animation

[30/07/2022] New paper on OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum accepted by IROS 2022.

[11/07/2022] I graduated with Distinction and Dissertation Prize for best performing dissertation from MSc Advanced Design Informatics.

[17/10/2021] New paper on Motion Tracklet Oriented 6-DoF Inertial Tracking Using Commodity Smartphones accepted by SenSys DATA 2021.

[17/07/2021] Our team won 1st place in Arm High-Performance-Computing (HPC) Hackathon held by Arm and AWS.

Recent Publications

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(2022). OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum. 2022 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS).

DOI

(2021). Motion Tracklet Oriented 6-DoF Inertial Tracking Using Commodity Smartphones. Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems.

DOI