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Real-Time Hands-On

Location:
Ho Chi Minh City, Vietnam
Posted:
February 23, 2025

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Resume:

ROS and ROS*

Computer Vision

Deep Learning

Python, C/C++, Java

Fusion360 and SolidWorks

Linux/Ubuntu

Data Communication

Award & Scholarship

Skills

Education

long.nguyen.210085@

student.fulbright.edu.vn

https://www.linkedin.com/in/

thanhlong103/

+84-777-***-***

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BEST PAPER AWARD - 2024 7th International Conference on Control, Robotics and Informatics - https://arxiv.org/abs/2410.09803 An engineering student loving

robotics, AI, and computer vision.

Committed to advancing intelligent

robotic systems and real-world

applications by leveraging deep

learning, sensor fusion, and

computer vision to address

challenges in autonomous systems

and human-robot interaction.

About Me

Robotics & AI Concentrations

THANH LONG

NGUYEN

Developed a motion planning framework using LiDAR, RGB-D cameras, and sensor fusion to enhance human detection, tracking, and navigation in dynamic environments. Incorporated deep learning-based pose estimation and Kalman filtering to account for physical and psychological personal space, enabling socially aware, collision-free robot navigation in settings like hospitals and restaurants. Topic “RoboServe: A Fleet Management System on SLAM-based Multiple Robots Aiding Humans in Public Areas”

Awarded for academic excellence, innovative research, and commitment to STEM advancement. Selected through a competitive process based on a robust research proposal, GPA > 3.3, and strong recommendations.

Recognized for advancing technology-focused research and promoting diversity in STEM. High School Diploma

Pho Thong Nang Khieu

Bachelor of Human-Centered

Engineering

Fulbright University Vietnam

July 2024

January 2024

Socially Aware Motion Planning for Service Robots

Using LiDAR and RGB-D Camera

TP-Bank STEM Scholarship - $2,000

Developed a high-speed (3.81 ms) human group interaction detection system using Principal Component Analysis and interest point estimation and have submitted as an article for Methodx. Designed and implemented a real-time (3.95 ms) human activity recognition model on an embedded system, achieving 95% accuracy with a skeleton-based CNN+LSTM architecture. Integrated human activity recognition with the Dynamic Window Approach and Human Group Social Model to develop a real-time socially aware motion planning framework. Designed and built SOLIX, a SLAM-enabled socially aware service robot platform, implementing the framework to ensure high accuracy, efficiency, and real-time performance in dynamic, socially interactive environments.

Fulbright University Vietnam July 2024 - Present

Researcher

Researchs

Provided guidance to 32 students in designing and implementing advanced robotic systems, covering topics from kinematics and control theory to obstacle avoidance and motion planning within 13 weeks.

Supported the integration of these concepts into intelligent robotic solutions, emphasizing resource efficiency and real-world applicability in service robotics. Mentor students to overcome challenges and prepare for practical applications in the field. Fulbright University Vietnam Aug 2023 - Dec 2024

Senior Teaching Assistant - Intelligent Robot Studio: From Theory to Practice Course Developed a CNN-based deep learning model for real-time plant growth detection. Integrated with Raspberry Pi Pico for low-power embedded system operation. Utilized old 3D printer for precise camera mounting and plant tracking. Applied computer vision algorithms for plant stage recognition and growth measurement. FabLab Saigon May 2023 - Aug 2023

Technical Intern

Project Website

https://fulbot-info-thanhlong103s-

projects.vercel.app/



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