AI that sees, understands, and acts in the physical world. From RT-2 to Qwen-VLA, from LeRobot to autonomous humanoids. The definitive course on the brains of tomorrow's robots.
3 tracks · 18 modules · 50+ academic and industry sources
11+
VLA Models
7
Frameworks
18
Modules
50+
Sources
From concept to deploy. Each learning path goes deeper.
What VLA is. Models, datasets, hardware, safety. From RT-2 to Qwen-VLA.
6 modules →How to do it. Python, LeRobot, simulators, ROS2, training, sim-to-real.
6 modules →Where it’s headed. Dual-System, world models, $7.2B market, roadmap 2030.
6 modules →🧠
LLMs understand language. VLMs understand images. VLAs make robots act. It’s the natural evolution of generative AI into the physical world.
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Investments in robotics + AI jumped from $3.1B (2023) to $7.2B. Humanoids in industrial production are a reality in 2026.
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OpenVLA, Octo, π0, GR00T N1, LeRobot, SmolVLA. The best models are open. Anyone can train and deploy them.
RT-2
Google DeepMind
OpenVLA
Stanford / Berkeley
π0
Physical Intelligence
Qwen-VLA
Alibaba
GR00T N1
NVIDIA
Helix
Figure AI
SmolVLA
HuggingFace
Octo
Berkeley / CMU