Portrait
Portrait
Yuhao Zhang
PhD Student
University of Oxford
About Me

I am a PhD (DPhil) student in Engineering Science at the University of Oxford, started in 2025, under the supervision of Prof. Maurice Fallon. My research interests lie in mobile robotics and spatial AI, particularly in semantic 3D dense mapping and information-driven planning for active robotic perception in unknown and evolving environments.

Previously, I completed an MPhil in Advanced Computer Science at the University of Cambridge (2024-2025), where I worked on multi-robot trajectory planning with denoising optimization under the supervision of Prof. Amanda Prorok. Prior to that, I earned my Bachelor's degree in Computer Science from the University of Manchester (2021-2024), where I began research in Simultaneous Localization and Mapping with support from Prof. Mikel Luján.

I have also had the privilege of collaborating with and receiving valuable guidance from Prof. Frank Dellaert, Prof. Yifu Tao, Dr. Keisuke Okumura, Dr. Ajay Shankar, Dr. Ruiqi Ye, and Mihai Bujanca.

Education
  • University of Oxford
    University of Oxford
    DPhil in Engineering Science
    2025 - present
  • University of Cambridge
    University of Cambridge
    MPhil in Advanced Computer Science
    2024 - 2025
  • University of Manchester
    University of Manchester
    BSc in Computer Science
    2021 - 2024
News
2026
📃 One paper is accepted to IEEE Transactions on Robotics (T-RO)!
Sep 12
📃 ScaRF-SLAM is accepted to IEEE Robotics and Automation Letters (RA-L).
Aug 25
🏆 We are launching a new SLAM challenge on 360° cameras, together with Hilti and Trimble.
Feb 03
2025
📃 Two papers are accepted to IROS 2025.
Jun 16
2024
📃 My first paper is accepted to IROS 2024.
Jun 30
Selected Publications
T-RODenoising Multi-Robot Trajectories
Denoising Multi-Robot Trajectories

Yuhao Zhang, Keisuke Okumura, Ajay Shankar, Amanda Prorok

IEEE Transactions on Robotics (T-RO), 2026

T-RO
Denoising Multi-Robot Trajectories

Yuhao Zhang, Keisuke Okumura, Ajay Shankar, Amanda Prorok

IEEE Transactions on Robotics (T-RO), 2026

RA-LScaRF-SLAM: Scale-Consistent Reconstruction with Feed-Forward Models and Classical Visual SLAM
ScaRF-SLAM: Scale-Consistent Reconstruction with Feed-Forward Models and Classical Visual SLAM

Yuhao Zhang, Yifu Tao, Frank Dellaert, Maurice Fallon

IEEE Robotics and Automation Letters (RA-L), 2026

RA-L
ScaRF-SLAM: Scale-Consistent Reconstruction with Feed-Forward Models and Classical Visual SLAM

Yuhao Zhang, Yifu Tao, Frank Dellaert, Maurice Fallon

IEEE Robotics and Automation Letters (RA-L), 2026

arXivHilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization
Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization

Samuele Centanni*, Yuhao Zhang*, Yifu Tao, Julien Kindle, Frank Neuhaus, Tilman Koß, Aryaman Patel, Michael Helmberger, Emilia Szymańska, Torben Gräber, Maurice Fallon (* equal contribution)

arXiv preprint, 2026

arXiv
Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization

Samuele Centanni*, Yuhao Zhang*, Yifu Tao, Julien Kindle, Frank Neuhaus, Tilman Koß, Aryaman Patel, Michael Helmberger, Emilia Szymańska, Torben Gräber, Maurice Fallon (* equal contribution)

arXiv preprint, 2026

IROSD4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations
D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations

Yuhao Zhang, Keisuke Okumura, Heedo Woo, Ajay Shankar, Amanda Prorok

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

IROS
D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations

Yuhao Zhang, Keisuke Okumura, Heedo Woo, Ajay Shankar, Amanda Prorok

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

IROSNGD-SLAM: Towards Real-Time Dynamic SLAM without GPU
NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU

Yuhao Zhang, Mihai Bujanca, Mikel Luján

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

IROS
NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU

Yuhao Zhang, Mihai Bujanca, Mikel Luján

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

IROSA Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems
A Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems

Nikola Radulov*, Yuhao Zhang*, Mihai Bujanca, Ruiqi Ye, Mikel Luján (* equal contribution)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

IROS
A Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems

Nikola Radulov*, Yuhao Zhang*, Mihai Bujanca, Ruiqi Ye, Mikel Luján (* equal contribution)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

All publications