nenpowerPhysical AI
Teach machines to perceive, decide and act in the real world.
Where AI meets hardware. Learn how robots see, plan and move — from sensors and perception to reinforcement learning, imitation learning and deploying models on real robots. Practical, code-along and grounded in physics.
Perception and Control. Sensors, vision and the control stack that turns data into motion.
What Is Physical AI?
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Sensors: Seeing and Feeling the World
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Computer Vision for Robots
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From Pixels to Poses
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Classical Control Meets Learning
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Closing the Loop
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Learning to Act. Train policies in simulation and bring them to real hardware.
Simulation as a Training Ground
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Reinforcement Learning Essentials
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Imitation Learning from Demos
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Sim-to-Real Transfer
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Vision-Language-Action Models
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Deploying on a Real Robot
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