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Chapter 2. Prehension

Chapter 2. Prehension

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<strong>Chapter</strong> 8 - Constraints on Human <strong>Prehension</strong> 327<br />

into other hands, such as dextrous robot hands and prosthetic hands.<br />

These devices would just need their own computational nervous<br />

system to perform the mapping that the central nervous system does<br />

for the human hand. The mechanical hand, while seemingly different<br />

(made of different materials, having different characteristic<br />

workspaces, etc.), must obey many of the same constraints (laws of<br />

physics, achieve goals). With a dextrous multi-fingered hand, multiple<br />

grasping solutions are possible, and only additional constraints will<br />

guide a controller in making choices. Each controller is faced with the<br />

question of how best to use its hand’s features in relation to the<br />

anticipated object properties and predicted interaction outcome, in<br />

order to achieve task goals. By separating out levels of analysis, the<br />

study of human hand functionality can be related to dextrous robot<br />

hand functionality.

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