Research on the Industrial Robot Grasping Method Based on Multisensor Data Fusion and Binocular Vision

<div>Workpiece field measurement to create a model point cloud <span class="nowrap"><svg height="11.927pt" id="M13" style="vertical-align:-3.291101pt" version="1.1" viewbox="-0.0498162 -8.6359 14.924 11.927" width="14.924pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M719 146L691 147C666 77 657 72 612 72H528C572 125 688 224 688 364C688 546 558 665 384 665C212 665 77 541 77 361C77 221 188 124 239 72H150C110 72 97 80 73 147L46 146L63 0H307L314 18C284 71 178 203 178 360C178 529 256 631 383 631C509 631 588 523 588 363C588 197 485 67 453 18L458 0H701L719 146Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.841,3.132)"><path d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"></path></g></svg>.</span> (a) Correct correspondences. (b) Faulty correspondences.</div>

Computational Intelligence and Neuroscience

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Figure 5

Figure 5: Research on the Industrial Robot Grasping Method Based on Multisensor Data Fusion and Binocular Vision 