The Physical AI Roadmap: From Microcontrollers to Autonomous Robots
Want to move beyond simple microcontrollers? Here is your complete roadmap to becoming a Physical AI and Robotics Engineer. This guide takes you from basic electronics to advanced ROS2, Computer Vision, Simulations, and Vision-Language-Action models (VLAs).
If you are coming from a Machine Learning or Data Science background and want to break into Physical AI, this video covers the natural progression you need to follow. We’ll bridge the gap between "coding models" and "building real-world autonomous systems."
📂 Get the Roadmap & Resources on GitHub:
https://github.com/iuliaferoli/0_to_physical_AI
⏳ TIME STAMPS
00:00 - How to get from LED blink to autonomous robots?
00:27 - What to expect: Hands-on & The Big Picture
01:06 - Prerequisites: Math, Programming & ML
01:30 - Chapter 1: Microcontrollers & Electronics
02:00 - Chapter 2: ROS2 (Robot Operating System)
03:00 - Chapter 3: Simulations & Modeling
03:45 - Chapter 4: Computer Vision & OpenCV
04:15 - Is it AI or just Math?
04:33 - The Future: AI Agents and VLAs
05:00 - The "One Project" Strategy
05:53 - Let's get started!
📺 RECOMMENDED PLAYLISTS FOR THIS ROADMAP
🔹 ML Basics: https://www.youtube.com/playlist?list=PLA91EvK7Dr_u95QXATCLDFgDiM3QuEiuF
🔹 LLMs & Agents: https://www.youtube.com/playlist?list=PLA91EvK7Dr_vUflpXjMzBS8VEZiRHizQ_
🔹 Robot Arm from Scratch: https://www.youtube.com/playlist?list=PLA91EvK7Dr_t3BMHld1zLkzEQFPPG1A56
🔹 Microcontroller Basics: https://www.youtube.com/playlist?list=PLA91EvK7Dr_uZfC8QRWU6ETB3tA66958w
#PhysicalAI #RoboticsEngineering #ROS2 #RoboticsRoadmap #ComputerVision #embeddedsystems
Robotics for python developers, From software engineer to robotics, Physical AI explained, ROS2 for beginners, Vision Language Action models, Robotics learning path 2026, Arduino to ROS2
Want to move beyond simple microcontrollers? Here is your complete roadmap to becoming a Physical AI and Robotics Engineer. This guide takes you from basic electronics to advanced ROS2, Computer Vision, Simulations, and Vision-Language-Action models (VLAs).
If you are coming from a Machine Learning or Data Science background and want to break into Physical AI, this video covers the natural progression you need to follow. We’ll bridge the gap between “coding models” and “building real-world autonomous systems.”
📂 Get the Roadmap & Resources on GitHub:
https://github.com/iuliaferoli/0_to_physical_AI
⏳ TIME STAMPS
00:00 – How to get from LED blink to autonomous robots?
00:27 – What to expect: Hands-on & The Big Picture
01:06 – Prerequisites: Math, Programming & ML
01:30 – Chapter 1: Microcontrollers & Electronics
02:00 – Chapter 2: ROS2 (Robot Operating System)
03:00 – Chapter 3: Simulations & Modeling
03:45 – Chapter 4: Computer Vision & OpenCV
04:15 – Is it AI or just Math?
04:33 – The Future: AI Agents and VLAs
05:00 – The “One Project” Strategy
05:53 – Let’s get started!
📺 RECOMMENDED PLAYLISTS FOR THIS ROADMAP
🔹 ML Basics: https://www.youtube.com/playlist?list=PLA91EvK7Dr_u95QXATCLDFgDiM3QuEiuF
🔹 LLMs & Agents: https://www.youtube.com/playlist?list=PLA91EvK7Dr_vUflpXjMzBS8VEZiRHizQ_
🔹 Robot Arm from Scratch: https://www.youtube.com/playlist?list=PLA91EvK7Dr_t3BMHld1zLkzEQFPPG1A56
🔹 Microcontroller Basics: https://www.youtube.com/playlist?list=PLA91EvK7Dr_uZfC8QRWU6ETB3tA66958w
#PhysicalAI #RoboticsEngineering #ROS2 #RoboticsRoadmap #ComputerVision #embeddedsystems
Robotics for python developers, From software engineer to robotics, Physical AI explained, ROS2 for beginners, Vision Language Action models, Robotics learning path 2026, Arduino to ROS2
