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.


Published in:
Proceedings of Workshop towards Semantic Virtual Environments' (SVE 2005) workshop
Year:
2005
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 Record created 2007-01-16, last modified 2018-03-17

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