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Chapter 2. Prehension

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468 THE GRASPING HAND<br />

Forces. Force application<br />

Forearm<br />

degrees of freedom, 354t<br />

innervation, 368t<br />

joints, 362t<br />

movement descriptions, 357f<br />

muscles, 362t<br />

skeletal Structure, 352f<br />

Form closure, 264,265,268t, 332<br />

Forward kinematic problem, 117n<br />

Foveal vision, 185<br />

Foveation. see also Haptics; Vision<br />

definition, 228<br />

and motor control, 118<br />

Free motion, 11 1,228,285,300<br />

Frequency characteristics, of exploratory<br />

movements, 267f, 268<br />

Friction. see &Q Amonton's laws of friction<br />

(equation); Coefficient of friction;<br />

Cone of friction<br />

and contact points, 235<br />

and contact with object, 220<br />

laws of, and skin, 21 1,212f. 309<br />

and object texture, 249<br />

and skin, 209-10.220,221f, 297f<br />

and sweating, 219-20<br />

Full roll grasp, 19t, 28,272t. 371t<br />

Function strength, and grasp types, 263t<br />

Function test, of object prcperties, 232f<br />

Functional constraints, 15, 16-17,308t,<br />

324-25,332<br />

Functional Electrical Stimulation, 256<br />

Functionality, and prehensile<br />

classifications, 18<br />

Funnels, 81,274-75<br />

G<br />

Ganghon, definition, 218<br />

Generalized delta rule. Delta leaming<br />

rule, of neural networks<br />

Glabrous skin, 208-9,223f, 225f, 228,256,<br />

373<br />

Glass, as grasped object, 275f, 276<br />

Goals<br />

environmentally-defined, 17<br />

motor, 17<br />

and phases of prehension, 60-61<br />

task, prehensile classification of,<br />

22-25,24f<br />

transforming into motor commands, 115-17,<br />

116f<br />

and transport component, 200<br />

Golf ball. as grasped object, 237<br />

Golgi-Mazzoni bodies, 224,225f, 226<br />

*Good grasp, 274,297f<br />

'Grab reflex', 57-58, 157,317<br />

Gradient descent rule, definition, 391-92,<br />

397<br />

Grasp. see alsg Grasp component; Grasp<br />

(Letters after page numbers:<br />

strategy; Grasp types; Grasping<br />

collective, 171<br />

definition, 3,2511<br />

and fingerprints, 206<br />

and force applicatim, 308-9<br />

'good, 274,297f<br />

independent, 171<br />

instructed, 173<br />

isotropy, 264,265,268t<br />

measurement of, 51,52f, 262-66.263t.<br />

266t<br />

natural, 173<br />

in perturbation studies, 166-67<br />

qualitative coding of, 37-38,38f<br />

selection of, 167-74<br />

stable, 203,242-47, 274,307-8<br />

static, 268<br />

Grasp component. & Aperture; Grasp;<br />

Grasp strategy; Grasp types; Grasping<br />

and accessibility constraints, 151-52<br />

affected by object size, 142<br />

and arm transport component, 149-50<br />

and ballpark model, 189<br />

coupling with transport component, 199<br />

definition, 51<br />

and enclosing, 145<br />

and grasp aperture, 145, 146<br />

kinematic features of prehensile<br />

behaviors, 197<br />

and object distance, 154, 162<br />

and object location, 200<br />

and object properties, 199<br />

and object size, 152, 154, 167<br />

and object texture, 156<br />

and pad opposition, 145,169<br />

and palm-focused model of grasping,<br />

194-96<br />

and palm opposition, 169<br />

in perturbation studies, 159,163<br />

and preshaping, 145<br />

relatlon to transport component, 58-59,<br />

290<br />

and visual information, 178-79, 181-86<br />

GRASP-Exp expert system, 83-85,93-94<br />

Grasp postures. see Classification,<br />

prehensile; Grasp t es<br />

Grasp strategy. see als~%asp; Grasp<br />

component; Grasp types; Grasping<br />

chosen by expert system, 83-85<br />

chosen by neural network, 85-90<br />

defintion, 64,106<br />

and planning sition space, 288<br />

selecting, 83-90$0<br />

Grasp PS, 19-2Ot, 166-74, 369-73,370-71t.<br />

see also Grasp; Grasp component;<br />

Grasp strategy; Grasping; Pad<br />

oppositlon; Palm opposition; Side<br />

awosition<br />

addktion, 1%. 28f, 29,35,36,335,<br />

37&, 372f<br />

f=figure; n=footnote; t-table.)

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