Hardware

Dual-Arm Robot

Dual-Arm Robot is a system with two coordinated manipulators, enabling bimanual skills such as stabilizing an object with one arm while the other acts on it, handling large or deformable items, and performing human-style assembly. Control challenges include closed kinematic chains when both arms grasp one object, inter-arm collision avoidance, and role allocation. Bimanual teleoperation systems such as ALOHA have made dual-arm demonstration collection dramatically cheaper.

Why it matters for physical AI

Many everyday tasks, folding laundry, opening containers, connecting cables, are inherently bimanual, and dual-arm platforms paired with imitation learning have become a leading testbed for generalist manipulation policies.