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Chapter 2. Prehension

Chapter 2. Prehension

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6 WHAT IS PREHENSION?<br />

continue in this way, we modify our hand shape and insert the index<br />

fingernail into the screw slot, and rotate the hand, turning the screw in<br />

a way to get the job done adequately. Now, suppose the job were to<br />

paint the wall. We look around for an object to lever open the lid of<br />

the paint can, and perhaps all we see is a screwdriver. With its long<br />

shape to provide an effective lever and a thin end to fit under the lip of<br />

the lid, it will do the job. Then, with the paint can open, the paint<br />

must be stirred. Having misplaced our paint stirrer, we once again<br />

reach for our trusty screwdriver, which in a pinch also suffices for this<br />

activity!<br />

In these activities, the hand shapes differently. While the screw-<br />

driver properties are not changing, the task is different in each case.<br />

The grasp chosen for levering and stirring no longer resembles the<br />

more standard way of grasping the screwdriver. And while the<br />

screwdriver's physical properties exist to support its primary function,<br />

those very properties can be used for other functions. The shape taken<br />

on by the hand for grasping the screwdriver in these other tasks re-<br />

flects the needs of these secondary functions. Importantly, we see that<br />

the hand, as a general purpose tool, can shape itself into a posture<br />

suitable to perform a given function. This can be to grasp an object to<br />

do the function, or it can be to shape itself into a tool to perform that<br />

function directly. In fact, most tools are designed to simplify accom-<br />

plishing the tasks previously done by the naked hands.<br />

How do our brains control our hands? The brain, as a complex<br />

system, can be modelled using theories containing hypothetical expla-<br />

nations, suppositions, and conjectures. If we think in terms of a black<br />

box (see Figure 1.2), we can ask how such a system maps inputs into<br />

outputs. In this case, the question is how the hand is being controlled<br />

in prehensile behavior. The controller is the central nervous system<br />

(CNS) or perhaps even a computational control system. The hand<br />

could be a natural human hand or a dextrous prosthetic or robotic<br />

hand. Our working definition of prehension is the application offinc-<br />

tionally efSective forces by the hand to an object for a task, given nu-<br />

merous constraints'. The inputs to the black box are an object and a<br />

task. The output is prehensile behavior, measured as postures and<br />

forces unfolding over time.<br />

lhehensile behavior can also be accomplished by tails, trunks, tongues, teeth, or<br />

other animal body parts. In this book, we have restricted our focus to the primate<br />

hand.

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