No tutorials. No step-by-step guides. This is where the most talented students operate as real R&D engineers — designing complete technological solutions for real-world problems using the most advanced hardware and software in the industry.
Un aperçu de ce programme en action — projets, réalisations et démonstrations.
Students master the technologies that are reshaping robotics, manufacturing, and artificial intelligence worldwide.
Students work with NVIDIA Jetson Orin Nano Super developer kits — the same hardware powering autonomous vehicles, industrial robots, and space exploration systems. They learn to process complex data locally, run real AI models on the edge, and integrate Large Language Models directly into physical robotic builds. This is Physical AI: robots that think, see, hear, and adapt in real time without cloud dependency.
Real engineers test in the digital realm before building in the physical world. Students utilize NVIDIA Omniverse and Isaac Sim to create hyper-realistic digital twins of their robots — simulating physics, environments, lighting, and AI behaviors in a virtual space. They train reinforcement learning agents in simulation, then deploy the exact same code to physical machines. This is how Tesla, NASA, and Boston Dynamics develop robots.
Moving far beyond basic wheeled robots, students engage with industrial-grade kinematics. They work extensively with the SO-ARM 101 robotic arm — learning to assemble the complete system from CAD STEP files, calibrate multi-axis movements, program complex teleoperation protocols, and integrate AI for autonomous manipulation tasks. This is the same class of hardware used in industrial manufacturing and surgical robotics.
The ultimate integration point. Students tackle real-world problems that demand the seamless combination of everything: advanced electronics, mechanical design, 3D manufacturing, software engineering, and artificial intelligence. They define the problem, research existing solutions, architect their own custom systems, prototype, test, and iterate. They use Raspberry Pi for rapid computing, professional soldering for permanent circuits, CNC and laser systems for precision fabrication, and resin printing for high-fidelity components.
Level 3 students follow the same R&D practices used by the world's top technology companies.
Start with a real-world problem. Research what exists. Identify what's missing. Then engineer a solution from scratch.
No predefined kits. Students design their own hardware architectures, select their own components, and build from first principles.
Test in Omniverse first. Validate AI in Isaac Sim. Only then move to physical hardware. Like Tesla and NASA.
Design, print, test, fail, redesign, reprint. The fabrication lab runs hot. Speed of iteration is speed of learning.
Technical documentation, peer review, and presentation of results. Engineering isn't just building — it's communicating.
There is no fixed endpoint. As technology evolves, our elite students evolve with it — always operating at the bleeding edge.
The most powerful edge AI computer — same hardware in autonomous vehicles and industrial robots
Create photorealistic digital twins — simulate physics, lighting, and AI before physical deployment
Physics-accurate robotics simulation for training autonomous systems in virtual worlds
Multi-axis robotic arm for industrial kinematics, teleoperation, and AI manipulation research
Versatile single-board computer for rapid prototyping, IoT servers, and embedded applications
High-resolution resin SLA printer for precision engineering components and detailed models
Industrial soldering station for permanent circuit assembly and PCB rework
Precision CNC machining and laser engraving for fabricating custom mechanical parts
Design, manufacture, and deploy complete AI-functional robots — from 3D CAD to edge AI inference on NVIDIA Jetson.
Assemble, calibrate, and program the SO-ARM 101 for complex multi-axis manipulation and teleoperation.
Simulate entire robotic systems in NVIDIA Omniverse — testing physics and AI before building physical hardware.
Independently identify problems, research solutions, design architectures, and deliver working prototypes.
Use FDM, SLA resin, CNC, and laser systems to fabricate professional-grade components and assemblies.
Possess skills and technical maturity comparable to undergraduate engineering students — years before university.
Level 3 is by invitation and demonstrated skill. Book a visit to see our R&D team in action — students building AI robots, training digital twins, and operating at the cutting edge of technology.