Manipulation

Semantic Grasping

Semantic grasping is grasp selection conditioned on what an object is and how it will be used, rather than on geometry and stability alone — grasping a knife by the handle for handover, or a mug away from its rim for pouring. Approaches combine object recognition, part segmentation, and affordance prediction with grasp synthesis, and recent systems condition grasp generation on natural language task descriptions. It contrasts with purely analytic or data-driven stable-grasp pipelines.

Why it matters for physical AI

Household and industrial tasks rarely want just any stable grasp; task-appropriate, instruction-following grasp choice is a prerequisite for general-purpose manipulation in human environments.