Building robots that work — not just in the lab, but in the real world. 

At VinRobotics, our Autonomy Team is on a mission to make robotic systems truly robust and reliable in industrial and field environments. 

Led by Dr. Nguyen Dinh Huan (Norwegian University of Science and Technology, Norway) and Dr. Nguyen Xuan Ha (Sungkyunkwan University, South Korea), we combine rigorous theory (math and physics) with hands-on engineering (programming, electronics, mechanics). We’re looking for people who love turning equations into robots that actually work — outside simulation, under rain, dust, and chaos. 

💡 What We’re Working On 

If you’re passionate about any of these areas, we’d love your help: 

• Sensor Fusion & State Estimation: from sensor synchronization and calibration to Kalman filters, pose-graph optimization, and automatic detection of unreliable modalities to dynamically adjust the fusion pipeline. 

• SLAM: LiDAR and Visual SLAM in dynamic and/or large-scale environments. 

• Mapping: creating efficient map representations for navigation in cluttered or large-scale spaces.  

• Planning & Tracking Control: classical (search, sampling, or optimization-based) and learning-based motion planning and tracking control methods. 

• Code Optimization: writing clean and efficient C++/CUDA code for real-time performance on embedded hardware.  

• System Integration: design behavior trees to coordinate locomotion, navigation, and manipulation into one autonomy stack. 

🎓 Who We’re Looking For students, fresh graduates, and research interns who: 

• Are curious, persistent, and comfortable solving real problems — not just textbook exercises. 

• Have basic foundations in robotics and software engineering. 

• Value teamwork, open communication, and long-term impact. 

🧠 Our Work Has Appeared In 

• IJRR, JFR, RAL, ICRA, IROS, ECC, IEEE Transactions on Industrial Electronics and Instrumentation & Measurement 

• Multiple U.S. and Korean patents 

• DARPA Subterranean Challenge (rank 1st) and real-world deployments across factories, buildings, caves, forests, ships, and nuclear facilities  

If you love robotics and want to learn how to build systems that survive the real world — join us.