Page 332 - Introduction to Autonomous Mobile Robots

Index

A CCD camera 11, 90-92, 113, 117-122,
accuracy 1 138, 164, 176, 183, 246 -247
action update 213 center of mass (COM) 34, 36, 44, 143
Aibo 27, 28 chassis 32 - 80, 249, 275, 284, 291
aliasing 182, 184 Chips 209, 301
Asimo (Honda) 25 closed-world assumption 200, 203, 206
ASL approach 285-286, 290 CMOS camera 11, 91-92, 113, 117-122,
autofocus 125 138, 143-144, 178
B CMUcam 143-145
Bayes 214-215, 224, 233 CMVision 143-145
behavior 27, 47-48, 60, 64, 93-98, 108, Cognachrome 143-145
119-120, 147, 151, 169, 191-194, cognition 2, 8, 10, 17, 164, 181-185, 193,
216, 225, 244, 249, 253, 258, 271, 257, 298
276-277, 281, 292-303 color sensing 142
belief completeness 227, 259, 261, 264-267, 270
multiple-hypothesis 194, 196-199, 212, configuration space 74, 206, 212, 214,
217, 222-223 259-263, 267, 270, 282, 285-286
representation 11, 194-195, 214, 223 conjugate pair 131
single 194, 198 constraint
single-hypothesis 194-196, 199 rolling 54, 57-63
state 198-227, 233-238, 258-259 sliding 55, 57, 60, 63, 67, 71, 75-76
unique 196 controllability 33-38
biped 13, 15, 19-20, 24-26 convolution 133-134, 165, 167
blanking time 105 correlation 113, 136, 164, 188, 248-253
blooming 120, 183 correspondence problem 115, 133-136, 142
blur circle 124, 127-128 cross-sensitivity 94-95, 98, 107, 120-121
bow leg 22, 23 curvature velocity 280, 289
bubble band 278-280, 288 cycle frequency 284
Bug 272-276, 287 Cye 34-37, 206, 266, 302
C D
calibration 94, 131-132, 186, 190 dead reckoning 39-40, 43, 70, 98, 185,
camera 245-246
axis 247 decomposition 203-204, 217, 261, 264-
geometry 123, 127-128 265, 274, 292, 298
optics 120, 123-125, 246 approximate 206, 266
parameter 119-120, 123 control 295
catadioptric camera 176-177