New team • Student talent program
Connecting Physics‑Informed ML to Embodiment — where theory meets practice and equations turn into motion.
What we build every day
Dance with Balance
Humanoids walk, run, and balance with human‑like agility — even on uneven terrain or carrying loads.
Hands of Precision
Arms and grippers manipulate safely and efficiently, performing tasks with finesse and reliability.
From Virtual to Reality
Control strategies are perfected in high‑fidelity simulation before taking the leap to real robots.
Challenge the Humanoids
Robots tackle dynamic, real‑world tasks that push their limits and show the future of human‑like motion.
Choose your track
Pick one focus area — or blend them. You’ll ship real features on real robots, mentored by experts.
Dynamics & Whole‑Body Control
- Model‑based controllers (MPC, QP‑WBC), identification & calibration
- Adaptive/robust control, torque‑level interfaces
Perception, SLAM & Mapping
- LiDAR/Visual SLAM in dynamic & large‑scale spaces
- State estimation, sensor fusion, calibration
Planning & Autonomy
- Search / sampling / optimization‑based planning
- Tracking control and behavior trees for loco‑manipulation
Embodied ML
- Physics‑informed ML, RL/IL, VLA for perception‑to‑action
- Sim2real, representation learning, policy optimization
Systems & Tooling
- Realtime C++/CUDA on embedded hardware
- Dev infra, benchmarking, safety & testing
Human‑Robot Demos
- End‑to‑end demos for exhibitions & pilots
- Visualization, telemetry, fleet tools
Events
VinRobotics at AI4VN 2025
Highlights from our showcase on mastering core robotics technologies in Vietnam.
Press
Hands-on with VinRobotics’ Humanoid Robot
Third‑gen prototype field notes and capabilities overview.
Mentors & Senior Collaborators
You’ll be supported by an experienced, hands-on crew from academia and industry.
Dr. Vu Nhat Minh
Lead • Humanoid & Industrial Robotics
Dr.techn. TU Wien, Austria
Dr. Nguyen Dinh Huan
Lead • Autonomy & SLAM
PhD, NTNU, Norway
Dr. Le Thai An
Lead • Robot Learning
Dr.-Ing., TU Darmstadt, Germany
Mr. Nguyen Manh Cuong
Lead • Robotics Control
MSc, HUST, Vietnam
Dr. Nguyen Xuan Ha
Senior Collaborator • Autonomy
PhD, SKKU, South Korea
Dr. Tran Vu Trung
Lead • Motor Control & System Identification
DrEng, Nagoya Institute of Technology, Japan
What we’re working on
Sensor Fusion & Estimation
Sync & calibrate LiDAR, cameras, IMU, encoders; Kalman filters; pose‑graph optimization; modality reliability detection.
SLAM in the Wild
LiDAR/Visual SLAM for dynamic, large‑scale environments.
Mapping
Efficient map representations for navigation in cluttered spaces.
Planning & Tracking Control
Classical & learning‑based planners; robust tracking on hardware.
Code Performance
Clean C++/CUDA for realtime on embedded targets.
System Integration
Behavior trees to coordinate locomotion, navigation & manipulation.
Projects
Coming soon — we’ll list open‑source repos and demo write‑ups here.
Growth path
- Intern → Innovator: contribute to ongoing projects, master core control & robotics techniques.
- Expand Expertise: whole‑body control, motion planning, realtime integration.
- Lead Projects: design & run your own experiments and applications.
- Shape the Future: build a portfolio for top research/industry roles.
What you’ll gain
- Direct mentorship from experts and senior researchers.
- Hands‑on work: make the robot move — from sim to hardware.
- Deep dives into WBC, MPC, adaptive control & more.
- A rock‑solid foundation for humanoid robotics careers.
Who we’re looking for
You might be a fit if you…
- Understand kinematics, dynamics, control & optimization basics
- Can code in C++/Python/MATLAB for algorithms
- Are analytical, detail‑oriented, and collaborative
Bonus points
- Built optimization‑based controllers
- Realtime or physical robot experience
- State estimation, identification, or adaptive control
How to apply
We accept rolling applications for semester projects, internships, and thesis placements.
- Prepare a short CV and links (GitHub, portfolio, papers).
- Tell us your preferred track and why.
- Send to vinhumanoid@gmail.com with subject “PIR Talent Program — Your Name”.
FAQ
Is this only about humanoids?
Humanoids are a key platform, but we also work on mobile manipulation, UAV perception, and autonomy — wherever physics & embodiment meet.
Can I join remotely?
On‑site is preferred to get hands‑on hardware time. Hybrid is possible for strong candidates.
What should I know before applying?
Basic linear algebra, calculus, and programming. Familiarity with robotics stacks (ROS, Pinocchio, CasADi, CUDA) helps.
Who will mentor me?
Core leads plus external mentors (AI, UAV, SLAM). You’ll have a primary mentor and a weekly sync.