CV
Contact Information
| Name | Thuan-Phuoc Nguyen |
| Professional Title | Doctoral Researcher |
| nguyenthuanphuoc101@protonmail.com |
Professional Summary
A roboticist that wants to help robots understand the environment we live in.
Experience
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2023 - present Espoo, Finland
Doctoral Researcher
Aalto University
Research on a multilayered mapping framework that enables robots to handle complex tasks by efficiently representing different aspects of the environment.
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2022 - 2023 Turku, Finland
Research Assistant - Project Researcher
University of Turku
- 1st prize in UAV 3d mapping and exploration category in the ENRICH Robotic Hackathon 2023. My role was designing and developing UAV software, utilizing the UFOMap project for mapping, the OMPL library for path planning and frontier-based method for autonomous exploration.
- Conducted my master’s thesis by designing and developing a lightweight landing pad using a single-lens panoramic camera module and an embedded computing platform.
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2022 - 2022 Tampere, Finland
Teaching Assistant
Tampere University
- DATA.ML.100 Introduction to Pattern Recognition and Machine Learning
- My tasks were helping students with their assignments and grading assignments
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2019 - 2020 HCMC, Vietnam
Embedded (C/C++) Intern
RBVH - Robert Bosch Engineering and Business Solutions Vietnam Company Limited
- Learn C/C++ by working with car media software.
Education
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2021 - 2023 Tampere, Finland
MSc.Tech
Tampere University
Information Technology, Robotics and AI
- GPA: 5/5
- Thesis: Vision-based safe autonomous UAV landing with panoramic sensors.
- Design and develop a human detection model for an on-ground safe landing system utilizing a panoramic camera module.
- Localize surrounding people by amalgamating object detection and distance estimation results.
- When there are people near the landing zone, the UAV either retreats to a higher position or select an optimal landing position base on the surrounding
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2015 - 2020 HCMC, Vietnam
Publications
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2026 Event-Grounding Graph: Unified Spatio-Temporal Scene Graph from Robotic Observations
arxiv
A framework that adds observed events as nodes to a 3D scene graph and ground them to spatial features of the graph.
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2025 REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
A framework for 3D scene graph update when a robot revisits a scene.
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2023 Vision-based safe autonomous UAV docking with panoramic sensors
Frontiers in Robotics and AI
Utilizing a panoramic sensor with an object detector model to facilitate safe UAV landing.
Projects
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Data driven model learning for robot simulation and control
Control manipulator of an Avant machine using Gaussian process modeling and reinforcement learning.
- https://github.com/phuoc101/GP_RL
- https://youtube.com/watch?v=qDVkdOZNa60
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Frontier Exploration for Turtlebot3
Implement frontier exploration algorithm to perform SLAM with Turtlebot3 in the Gazebo simulator.
- https://github.com/phuoc101/robot_proj_2021
- https://youtube.com/watch?v=RQYh-rG6cbs
Skills
Specialization: Semantic Scene Understanding, Robotic Mapping, Robotic Perception, Machine Learning
Programming: Python, C/C++, MATLAB, shell scripting
Machine Learning: Pytorch, Tensorflow, Scikit-Learn, OpenCV
Robotics: ROS 1/2, PX4, Gazebo, RViz
Miscellaneous: Linux, Git, (Neo)vim, tmux, LaTeX
Languages
Vietnamese : Native speaker
English : Fluent
Finnish : Beginner
References
- Prof. Ville Kyrki
ville.kyrki@aalto.fi
- Dr. Francesco Verdoja
francesco.verdoja@aalto.fi
- Dr. Jorge Peña Queralta
jorge@binabik.ai