Abstract:
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Several researchers have spent time and effort studying
grasping under different points of view grasping objects
in virtual environments (VE) is one of them. Now that
the grasping strategy in VE has been solved, the next step
is grasping any object in a VE, with minimum interaction
with the user. In this paper, we develop a new strategy for
autonomous grasping in a virtual environment, based on
the knowledge of a few object attributes like size, task,
and shape. When the object is input a VE, the user
chooses the object from among others, chooses a task
inherent to the object selected, and then we implement a
semi-intelligence algorithm, which makes a decision
about how to grasp the selected object. When the system
makes a decision, it determines whether the object is in
the workspace of the hand. If it is then grasps, if is not,
the virtual human (VH) moves to closer to the object so
that it is now graspable. |