Bridging Geometry and Semantics for Object Manipulation and Grasping

In this paper, we present our on-going work towards grasping in an object manipulation context. Our proposal is a novel method that combines a tubular feature classification algorithm, a hand grasp posture generation algorithm and an animation framework for human-object interactions. This method works on objects with tubular or elongated parts, and accepts a number of parameter inputs to control the grasp posture.