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Chapter 2. Prehension

Chapter 2. Prehension

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<strong>Chapter</strong> 2 - <strong>Prehension</strong> 41<br />

and then pad opposition. In terms of sensory information, high den-<br />

sities of mechanoreceptors have been noted in the finger pads, as also<br />

will be seen in <strong>Chapter</strong> 6.<br />

VF state variables must obey their own constraints. For a task<br />

using an object of width w, height h, and with a minimum force to be<br />

applied p, the following constraints must be obeyed:<br />

a) Finger Position constraint. The distance between the grasping<br />

surface patches of the two VFs must be w (the object width).<br />

b) Force Magnitude constraint. The minimum force, p, necessary<br />

in the task must be smaller than the maximum force that can be<br />

applied by the VFs. The magnitude of the force applied by the<br />

two VFs must be equal.<br />

c) Finger Width constraint. The object length h can represent an<br />

upper limit on the width of a VF (e.g., coffee mug handle vs.<br />

coin held in palm).<br />

Within an opposition, state variables must also obey constraints.<br />

Given an opposition, the following constraint must be obeyed:<br />

d) Force Orientation constraint. The two force orientations y1 and<br />

a must align with each other during the opposition. From<br />

Figure <strong>2.</strong>9, y1 = 2~.<br />

Setting up an opposition space in effect fixes certain degrees of<br />

freedom while making others the variables for the task. The useful-<br />

ness of this model is that it reduces the complexity of the sensorimotor<br />

problem. The style of posture chosen matches the task requirements<br />

with the hand’s capabilities. In pad opposition, the hand can exert<br />

small forces, impart fine motions, and gather precise sensory informa-<br />

tion to match the accuracy and manipulation requirements of the task.<br />

In palm opposition, the hand can match or create larger anticipated<br />

forces while still ensuring a stable grasp, using the arm and wrist to<br />

provide grosser motions. Side opposition is a bridge that offers a<br />

medium range of forces while still offering some availability of sen-<br />

sory information due to the thumb pad being in contact with the object<br />

and some ability to impart motions to the object. Using the mathemat-<br />

ical description provided here, a more quantifiable notion of power<br />

and precision capabilities is possible. As a parameterized view of hu-<br />

man prehension, this model provides components for modeling a bio-<br />

logical subsystem for the control of natural, prosthetic, and robotic<br />

hands. The abstracted description of opposition space in terms of re-

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