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Dr Thien-Minh Nguyen
Dr

Thien-Minh Nguyen

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Overview

Background

  • Dr Nguyen is a Lecturer in Robotics at the School of Mechanical and Mining Engineering, The University of Queensland. His research focuses on advancing autonomous robot capabilities in complex, large-scale environments through 1) principled and scalable fusion of complementary sensing modalities with distilled prior knowledge from learning processes for localisation & mapping, and 2) cooperative strategies for multi-robot systems. These research directions address challenging scenarios such as inspection, exploration, and manipulation, where robust localisation & mapping form a solid foundation upon which collaborative schemes can unlock new levels of efficiency and scalability.
  • Dr Nguyen was previously a Research Assistant Professor at the Centre for Advanced Robotics Technology Innovation (CARTIN), Nanyang Technological University (NTU), following the Wallenberg–NTU Presidential Postdoctoral Fellowship, where he led collaborative research efforts between NTU and KTH Royal Institute of Technology. He received his PhD from the School of EEE, NTU, with the best thesis (Doctoral Innovation Award) in 2020. He graduated with a Bachelor of Engineering (Honours) from Vietnam National University – Ho Chi Minh City University of Technology in 2014. He is an active member of IEEE Robotics and Automation Society (RAS), and is currently an Associate Editor of IEEE Robotics and Automation Letters (RA-L) in the area of Localisation & Mapping.

Availability

Dr Thien-Minh Nguyen is:
Available for supervision
Media expert

Qualifications

  • Bachelor (Honours) of Automation and Control Engineering, Ho Chi Minh City University of Technology
  • Doctor of Philosophy of Control Systems, Robotics and Automation, Nanyang Technological University

Research impacts

Dr Nguyen has been active in developing novel localization, mapping, and sensor fusion methods for robotic applications. He has also developed several high-quality datasets that support the broader research community. During his fellowship at KTH and NTU, Dr Nguyen led a collaborative effort across three universities to develop MCD, a complex, large-scale dataset spanning three distinct campuses in Eurasia. The dataset features three survey-grade prior maps, continuous-time ground truth with centimetre-level accuracy, and tens of thousands of annotated LiDAR point clouds, supporting research in SLAM and semantic segmentation. He also developed CARIC, a lightweight digital twin model designed to benchmark cooperative inspection methods for heterogeneous aerial robot swarms.

Over the years, Dr Nguyen’s work has been published in leading robotics and computer vision venues, including:

  • IEEE Transactions on Robotics (T-RO)
  • IEEE Robotics and Automation Letters (RA-L)
  • International Journal of Robotics Research (IJRR)
  • IEEE International Conference on Robotics and Automation (ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Conference on Computer Vision and Pattern Recognition (CVPR)

Dr Nguyen is a frequent reviewer for T-RO, RA-L, IJRR, ICRA, and IROS. He serves as an Associate Editor for RA-L in the area of Localization and Mapping and has held similar roles for ICRA 2025 and 2026.

Works

Search Professor Thien-Minh Nguyen’s works on UQ eSpace

51 works between 2016 and 2026

21 - 40 of 51 works

2024

Conference Publication

Outram: one-shot global localization via triangulated scene graph and global outlier pruning

Yin, Pengyu, Cao, Haozhi, Nguyen, Thien-Minh, Yuan, Shenghai, Zhang, Shuyang, Liu, Kangcheng and Xie, Lihua (2024). Outram: one-shot global localization via triangulated scene graph and global outlier pruning. IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra57147.2024.10610206

Outram: one-shot global localization via triangulated scene graph and global outlier pruning

2024

Conference Publication

A cost-effective cooperative exploration and inspection strategy for heterogeneous aerial system

Xu, Xinhang, Cao, Muqing, Yuan, Shenghai, Nguyen, Thien Hoang, Nguyen, Thien-Minh and Xie, Lihua (2024). A cost-effective cooperative exploration and inspection strategy for heterogeneous aerial system. IEEE 18th International Conference on Control and Automation (ICCA), Reykjavik, Iceland, 18-21 June 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icca62789.2024.10591842

A cost-effective cooperative exploration and inspection strategy for heterogeneous aerial system

2024

Conference Publication

MCD: diverse large-scale multi-campus dataset for robot perception

Nguyen, Thien-Minh, Yuan, Shenghai, Nguyen, Thien Hoang, Yin, Pengyu, Cao, Haozhi, Xie, Lihua, Wozniak, Maciej, Jensfelt, Patric, Thie, Marko, Ziegenbein, Justin and Blunder, Noel (2024). MCD: diverse large-scale multi-campus dataset for robot perception. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, United States, 16-22 June 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/cvpr52733.2024.02105

MCD: diverse large-scale multi-campus dataset for robot perception

2023

Journal Article

NEPTUNE: nonentangling trajectory planning for multiple tethered unmanned vehicles

Cao, Muqing, Cao, Kun, Yuan, Shenghai, Nguyen, Thien-Minh and Xie, Lihua (2023). NEPTUNE: nonentangling trajectory planning for multiple tethered unmanned vehicles. IEEE Transactions on Robotics, 39 (4), 2786-2804. doi: 10.1109/tro.2023.3264950

NEPTUNE: nonentangling trajectory planning for multiple tethered unmanned vehicles

2023

Journal Article

SLICT: multi-input multi-scale surfel-based lidar-inertial continuous-time odometry and mapping

Nguyen, Thien-Minh, Duberg, Daniel, Jensfelt, Patric, Yuan, Shenghai and Xie, Lihua (2023). SLICT: multi-input multi-scale surfel-based lidar-inertial continuous-time odometry and mapping. IEEE Robotics and Automation Letters, 8 (4), 2102-2109. doi: 10.1109/lra.2023.3246390

SLICT: multi-input multi-scale surfel-based lidar-inertial continuous-time odometry and mapping

2023

Journal Article

SPINS: A structure priors aided inertial navigation system

Lyu, Yang, Nguyen, Thien-Minh, Liu, Liu, Cao, Muqing, Yuan, Shenghai, Nguyen, Thien Hoang and Xie, Lihua (2023). SPINS: A structure priors aided inertial navigation system. Journal of Field Robotics, 40 (4), 879-900. doi: 10.1002/rob.22161

SPINS: A structure priors aided inertial navigation system

2022

Journal Article

Flexible and resource-efficient multi-robot collaborative visual-inertial-range localization

Nguyen, Thien Hoang, Nguyen, Thien-Minh and Xie, Lihua (2022). Flexible and resource-efficient multi-robot collaborative visual-inertial-range localization. IEEE Robotics and Automation Letters, 7 (2), 928-935. doi: 10.1109/lra.2021.3136286

Flexible and resource-efficient multi-robot collaborative visual-inertial-range localization

2021

Journal Article

Distributed multi-robot sweep coverage for a region with unknown workload distribution

Cao, Muqing, Cao, Kun, Li, Xiuxian, Yuan, Shenghai, Lyu, Yang, Nguyen, Thien-Minh and Xie, Lihua (2021). Distributed multi-robot sweep coverage for a region with unknown workload distribution. Autonomous Intelligent Systems, 1 (1) 13, 1-10. doi: 10.1007/s43684-021-00011-1

Distributed multi-robot sweep coverage for a region with unknown workload distribution

2021

Journal Article

NTU VIRAL: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint

Nguyen, Thien-Minh, Yuan, Shenghai, Cao, Muqing, Lyu, Yang, Nguyen, Thien H. and Xie, Lihua (2021). NTU VIRAL: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint. International Journal of Robotics Research, 41 (3), 270-280. doi: 10.1177/02783649211052312

NTU VIRAL: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint

2021

Journal Article

Graph optimization approach to range-based localization

Fang, Xu, Wang, Chen, Thien-Minh, Nguyen and Xie, Lihua (2021). Graph optimization approach to range-based localization. IEEE Transactions On Systems Man Cybernetics-Systems, 51 (11), 6830-6841. doi: 10.1109/tsmc.2020.2964713

Graph optimization approach to range-based localization

2021

Journal Article

VIRAL-Fusion: a visual-inertial-ranging-lidar sensor fusion approach

Nguyen, Thien-Minh, Cao, Muqing, Yuan, Shenghai, Lyu, Yang, Nguyen, Thien Hoang and Xie, Lihua (2021). VIRAL-Fusion: a visual-inertial-ranging-lidar sensor fusion approach. IEEE Transactions on Robotics, 38 (2), 958-977. doi: 10.1109/tro.2021.3094157

VIRAL-Fusion: a visual-inertial-ranging-lidar sensor fusion approach

2021

Journal Article

MILIOM: tightly coupled multi-input Lidar-Inertia Odometry and Mapping

Nguyen, Thien-Minh, Yuan, Shenghai, Cao, Muqing, Lyu, Yang, Nguyen, Thien Hoang and Xie, Lihua (2021). MILIOM: tightly coupled multi-input Lidar-Inertia Odometry and Mapping. IEEE Robotics and Automation Letters, 6 (3), 5573-5580. doi: 10.1109/lra.2021.3080633

MILIOM: tightly coupled multi-input Lidar-Inertia Odometry and Mapping

2021

Journal Article

Range-focused fusion of camera-IMU-UWB for accurate and drift-reduced localization

Thien Hoang, Nguyen, Thien-Minh, Nguyen and Xie, Lihua (2021). Range-focused fusion of camera-IMU-UWB for accurate and drift-reduced localization. IEEE Robotics and Automation Letters, 6 (2), 1678-1685. doi: 10.1109/lra.2021.3057838

Range-focused fusion of camera-IMU-UWB for accurate and drift-reduced localization

2021

Conference Publication

LIRO: tightly coupled lidar-inertia-ranging odometry

Nguyen, Thien-Minh, Cao, Muqing, Yuan, Shenghai, Lyu, Yang, Nguyen, Thien Hoang and Xie, Lihua (2021). LIRO: tightly coupled lidar-inertia-ranging odometry. IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 30 May - 5 June 2021. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48506.2021.9560954

LIRO: tightly coupled lidar-inertia-ranging odometry

2020

Journal Article

Single landmark distance-based navigation

Nguyen, Thien-Minh, Qiu, Zhirong, Cao, Muqing, Nguyen, Thien Hoang and Xie, Lihua (2020). Single landmark distance-based navigation. IEEE Transactions On Control Systems Technology, 28 (5), 2021-2028. doi: 10.1109/tcst.2019.2916089

Single landmark distance-based navigation

2020

Journal Article

Tightly-coupled ultra-wideband-aided monocular visual SLAM with degenerate anchor configurations

Nguyen, Thien Hoang, Nguyen, Thien-Minh and Xie, Lihua (2020). Tightly-coupled ultra-wideband-aided monocular visual SLAM with degenerate anchor configurations. Autonomous Robots, 44 (8), 1519-1534. doi: 10.1007/s10514-020-09944-7

Tightly-coupled ultra-wideband-aided monocular visual SLAM with degenerate anchor configurations

2020

Journal Article

Persistently excited adaptive relative localization and time-varying formation of robot swarms

Nguyen, Thien-Minh, Qiu, Zhirong, Nguyen, Thien Hoang, Cao, Muqing and Xie, Lihua (2020). Persistently excited adaptive relative localization and time-varying formation of robot swarms. IEEE Transactions on Robotics, 36 (2), 553-560. doi: 10.1109/tro.2019.2954677

Persistently excited adaptive relative localization and time-varying formation of robot swarms

2020

Journal Article

Loosely-coupled ultra-wideband-aided scale correction for monocular visual odometry

Nguyen, Thien Hoang, Nguyen, Thien-Minh, Cao, Muqing and Xie, Lihua (2020). Loosely-coupled ultra-wideband-aided scale correction for monocular visual odometry. Unmanned Systems, 8 (2), 179-190. doi: 10.1142/s2301385020500119

Loosely-coupled ultra-wideband-aided scale correction for monocular visual odometry

2020

Conference Publication

Tightly-coupled single-anchor ultra-wideband-aided monocular visual odometry system

Nguyen, Thien Hoang, Nguyen, Thien-Minh and Xie, Lihua (2020). Tightly-coupled single-anchor ultra-wideband-aided monocular visual odometry system. 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May-15 June 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra40945.2020.9196794

Tightly-coupled single-anchor ultra-wideband-aided monocular visual odometry system

2019

Journal Article

Distance-based cooperative relative localization for leader-following control of MAVs

Nguyen, Thien-Minh, Qiu, Zhirong, Nguyen, Thien Hoang, Cao, Muqing and Xie, Lihua (2019). Distance-based cooperative relative localization for leader-following control of MAVs. IEEE Robotics and Automation Letters, 4 (4), 3641-3648. doi: 10.1109/lra.2019.2926671

Distance-based cooperative relative localization for leader-following control of MAVs

Supervision

Availability

Dr Thien-Minh Nguyen is:
Available for supervision

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Media

Enquiries

Contact Dr Thien-Minh Nguyen directly for media enquiries about:

  • AI
  • Robotics

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