and grasping, 330-31 visual perception of, 79-80 Eyes. g Vision F FAI fibers, 224,225f, 253,255t. 258 FAII fibers, 224,2255 253,254,253,256. 258 Fat pads, of skin, 210 Feedback controller, 11 1.200 and deceleration phase of movement, 148 and evolving mampulation, 226 feedforward/feedback error control (equation), 140 during grasping, 201 hierarchical feedback-error learning control model, 139f, 139-41 and movement corrections, 57 in neural network, 388-89 and phases of prehension, 60 and precision effect, 154 Feedfonvard controller, 11 1,200 feedforward/feedback error control (equation), 140 in neural network, 387-88 Finger Position constraint, of viltual fingers, 41 Finger touch grasp, 204 371t, 372f. 375,376 Finger Width constraint, of virtual fingers, A1 .. Fingerprints. see alsQ Fingers characteristics, 205-6 and grasp, 206 Fingers. Fingerprints; Index finger; Middle finger; Thumb; Virtual fingers collective movement control by brain, 175 and object size, 169-73, 17Of. 172f degrees of freedom, 358t exploratory movements of. 268 and force H lication, 235:39,240-47, 263.28 independent movement of, 174 index, as antenna, 30, 336,380 joint trajectories, 131-34 joints, 363t muscles, 363t and neural networks, 91 number required to restrain motion under conditions of friction, 244,245f pad cmpliance with object surface, 210 and pad opposition, 17Of. 170-71,171. 271,374 and palm opposition, 17 1,27 1 in power grasp, 23, 24f and prehensile classifications, 27 and stable grasp, 242-47 (Letters after page numbei Subject Index 467 structural constraints on grasping, 3 12 Fitting task, deceleration phase of, 146, 147f Fitts' Law. see als~ Asymmetric velocity profiles; Precision requirements and deceleration time, 127, 318 definition, 129-30 definition (equation), 123-24 and motor control, 292 and timing of movement, 338 and two-phase controller for complex movements, 199 and velocity profiles, 123,125,14.6, 317-18 Fixed contacts, 269,272,273 Flat grasp, 2Ot, 37&, 372f Flat objects, and pad ition, 261 Flexion (movement),% Flexion grasp, 19t, 37Ot Flexure lines, of palmar skin, 206 Fluid lubrication, 216,219 Force application. see alsQ Grasping; Grip force anticipated, 82f, 318-19 and cone of friction, 244f of different grasps, 262-64,308-9 direction of, 263,264,275 force coordination during lifting, 25Of and functional constraints, 338-39 and handle shape, 263 for lifting, 234,235f. Zlf, 252-58 magnitude of, 243-44 measurement of, 262-67,263t and motion, 11 1 normal, 244f and object properties, 200 and object size, 263 and object texture, 249 and object weight, 247,249 and pad opposition, 239,247-52 and palm opposition, 239 in perturbation studies, 157-58 phases, 252-58 regulation of, 273 in robotics, 2354,264-65.266f. 273-78 and side opposition, 239 and stable grasp, 242-47 and sweating, 216,217f synchronized to kinematic profiles, 286f tangential, 244f testing apparatus, 248-49f and transport of gras object, 268-69 and twist system, 23 9" f, 237 using position space, 297f verticTload force, 258-60 and virtual fingers, 39-42 and wrench system, 236f. 237 Force closure, 264,265,268t. 332 Force Magnitude constraint, 41,239 Force Orientation constraint, 41,239 n: f=figure; n=footnote; t-table.)
468 THE GRASPING HAND Forces. Force application Forearm degrees of freedom, 354t innervation, 368t joints, 362t movement descriptions, 357f muscles, 362t skeletal Structure, 352f Form closure, 264,265,268t, 332 Forward kinematic problem, 117n Foveal vision, 185 Foveation. see also Haptics; Vision definition, 228 and motor control, 118 Free motion, 11 1,228,285,300 Frequency characteristics, of exploratory movements, 267f, 268 Friction. see &Q Amonton's laws of friction (equation); Coefficient of friction; Cone of friction and contact points, 235 and contact with object, 220 laws of, and skin, 21 1,212f. 309 and object texture, 249 and skin, 209-10.220,221f, 297f and sweating, 219-20 Full roll grasp, 19t, 28,272t. 371t Function strength, and grasp types, 263t Function test, of object prcperties, 232f Functional constraints, 15, 16-17,308t, 324-25,332 Functional Electrical Stimulation, 256 Functionality, and prehensile classifications, 18 Funnels, 81,274-75 G Ganghon, definition, 218 Generalized delta rule. Delta leaming rule, of neural networks Glabrous skin, 208-9,223f, 225f, 228,256, 373 Glass, as grasped object, 275f, 276 Goals environmentally-defined, 17 motor, 17 and phases of prehension, 60-61 task, prehensile classification of, 22-25,24f transforming into motor commands, 115-17, 116f and transport component, 200 Golf ball. as grasped object, 237 Golgi-Mazzoni bodies, 224,225f, 226 *Good grasp, 274,297f 'Grab reflex', 57-58, 157,317 Gradient descent rule, definition, 391-92, 397 Grasp. see alsg Grasp component; Grasp (Letters after page numbers: strategy; Grasp types; Grasping collective, 171 definition, 3,2511 and fingerprints, 206 and force applicatim, 308-9 'good, 274,297f independent, 171 instructed, 173 isotropy, 264,265,268t measurement of, 51,52f, 262-66.263t. 266t natural, 173 in perturbation studies, 166-67 qualitative coding of, 37-38,38f selection of, 167-74 stable, 203,242-47, 274,307-8 static, 268 Grasp component. & Aperture; Grasp; Grasp strategy; Grasp types; Grasping and accessibility constraints, 151-52 affected by object size, 142 and arm transport component, 149-50 and ballpark model, 189 coupling with transport component, 199 definition, 51 and enclosing, 145 and grasp aperture, 145, 146 kinematic features of prehensile behaviors, 197 and object distance, 154, 162 and object location, 200 and object properties, 199 and object size, 152, 154, 167 and object texture, 156 and pad opposition, 145,169 and palm-focused model of grasping, 194-96 and palm opposition, 169 in perturbation studies, 159,163 and preshaping, 145 relatlon to transport component, 58-59, 290 and visual information, 178-79, 181-86 GRASP-Exp expert system, 83-85,93-94 Grasp postures. see Classification, prehensile; Grasp t es Grasp strategy. see als~%asp; Grasp component; Grasp types; Grasping chosen by expert system, 83-85 chosen by neural network, 85-90 defintion, 64,106 and planning sition space, 288 selecting, 83-90$0 Grasp PS, 19-2Ot, 166-74, 369-73,370-71t. see also Grasp; Grasp component; Grasp strategy; Grasping; Pad oppositlon; Palm opposition; Side awosition addktion, 1%. 28f, 29,35,36,335, 37&, 372f f=figure; n=footnote; t-table.)
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