Control
Port-Hamiltonian Control
Port-Hamiltonian control is an energy-based framework that models a robot as a network of energy-storing and energy-dissipating elements exchanging power through ports, with dynamics expressed via a Hamiltonian energy function. Control by interconnection and energy shaping, notably the IDA-PBC methodology, assigns a desired energy landscape and damping to the closed loop, generalizing passivity-based design with explicit physical structure.
Why it matters for physical AI
Energy-based formulations yield interaction controllers with stability guarantees rooted in physics rather than linearization, and they offer a principled way to certify learned or adaptive components in contact-rich control loops.
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.