control systems · robotics · physical AI

Where control theory meets physical intelligence.

Writing and interactive simulations on the systems that sense, decide, and move — from PID loops to diffusion policies.

Foundations

Control systems

Stability, sensitivity, feedback. The math that decides whether a moving system holds together — or doesn't.

Hardware

Robotics

Where algorithms meet actuators. Planning, perception, and the friction that separates a demo from a product.

Frontier

Physical AI

Learned controllers, world models, diffusion policies, vision-language-action models — and how they break when the real world pushes back.

Featured simulation

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Control · PID

Inverted pendulum

Tune a PID controller in real time and watch the pole stabilize. The "hello world" of control theory — and the baseline we'll benchmark learned policies against.

Open simulation

Recent papers

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Latest writing

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