Manipulation

Knot Tying

Knot tying is a benchmark manipulation task requiring a robot to form knots in rope or thread, combining deformable linear object perception, topological state reasoning, and precise bimanual coordination over long horizons. It has served as a testbed from early surgical suturing systems to modern learned approaches that track rope state from vision and plan sequences of grasps and crossings.

Why it matters for physical AI

Deformable, self-occluding objects with topology-dependent goals defeat rigid-body assumptions, so progress on knot tying signals maturity in bimanual, contact-rich manipulation of the soft materials filling homes and hospitals.

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.