Manipulation
Multi-Finger Grasp
A multi-finger grasp is a grasp employing three or more articulated fingers to constrain an object, enabling force-closure configurations, precision fingertip grips, and in-hand reorientation unavailable to parallel-jaw grippers. Grasp analysis characterizes such grasps through contact models and force closure, while synthesis must search a high-dimensional space of hand configurations, now increasingly handled by learned generative models trained on datasets such as DexGraspNet.
Why it matters for physical AI
Parallel jaws cap the complexity of achievable manipulation; multi-finger dexterity unlocks tool use, in-hand reorientation, and human-designed object interfaces, and is advancing quickly on affordable anthropomorphic hands.
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.