Fuzzy Logic Controller Design for Intelligent Robots

<div>MF of obstacle avoidance fuzzy controller. 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684 359 674L358 648H393C437 648 439 646 429 593L400 435C372 447 345 448 332 448C286 448 194 414 144 373C68 311 23 203 23 111C23 26 57 -12 91 -12C120 -12 147 3 188 29C227 54 290 102 341 170H343L322 71C308 6 320 -12 341 -12C373 -12 442 27 501 96L485 120C455 91 422 67 408 67C401 67 401 76 404 91C440 294 479 473 530 686ZM387 375L355 241C326 187 200 53 142 53C126 53 109 73 109 130C109 217 154 337 218 381C240 396 265 404 297 404S372 390 387 375Z" id="g113-101"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.15,3.132)"><path d="M238 675C244 702 241 710 231 710C220 710 155 682 74 673L70 643H101C147 643 151 635 142 594L39 111C18 11 36 -12 55 -12C89 -12 170 38 223 103L207 129C176 98 130 68 118 68C113 68 108 72 114 102L238 675Z" id="g50-109"></path></g></svg>.</span> (b) MF of output <span class="nowrap"><svg height="12.5794pt" id="M14" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 10.6244 12.5794" width="10.6244pt" xmlns="http://www.w3.org/2000/svg" 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Mathematical Problems in Engineering

Fuzzy Logic Controller Design for Intelligent Robots

Figure 6