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机器人自主抓取的三维点云基本形体简化算法

Translated title of the contribution: 3D point cloud basic form simplification algorithm for robot autonomous grasping
  • Anhui Polytechnic University
  • HIT Wuhu Robot Technology Research Institute
  • Nanjing University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the unstructured features of fetching tasks,a basic form simplification algorithm based on point cloud of irregular object was proposed to describe the shapes of complex objects,thus providing ideas for the selection of grasping strategies and improving the accuracy of autonomous grasping of robots.Complex irregular objects were simplified into simple objects that composed of basic shapes.3D data points of object were segmented based on the three dimensional grid segmentation algorithm.Each parts of the segmented object was fitted into a sphere,ellipsoid,cylinder or parallelepiped according to the optimal fitting algorithm to realize simplification of complex object.Experimental results show that the proposed algorithm is robust and can be applied to irregular objects with different shapes and postures.

Translated title of the contribution3D point cloud basic form simplification algorithm for robot autonomous grasping
Original languageChinese (Traditional)
Pages (from-to)13-19
Number of pages7
JournalHuazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
Volume48
Issue number1
DOIs
StatePublished - 23 Jan 2020

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