Eye-to-hand robotic tracking and grabbing based on binocular vision

Yi Chun Du, Taryudi Taryudi, Ching Tang Tsai, Ming Shyan Wang

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

摘要

This paper aims to study eye-to-hand robotic tracking and grabbing based on binocular vision. Two cameras placed on different locations gave different three-dimensional coordinates of the object from a binocular vision. The robot then analyzed the dynamic vision acquired from the stereo cameras and tracked the object in three-dimensional space utilizing continuously adaptive mean shift (CAMSHIFT) algorithm. Afterward, inverse and forward kinematics were implemented to move the robotic arm to the appropriate position so that it can grab the object using the end effector. The inverse kinematics was analyzed by a geometric algorithm to reduce the computational burden. Consequently, the experimental results verified that the eye-to-hand system was able to track and grasp the target successfully.

原文English
頁(從 - 到)1699-1710
頁數12
期刊Microsystem Technologies
27
發行號4
DOIs
出版狀態Published - 2021 4月

All Science Journal Classification (ASJC) codes

  • 電子、光磁材料
  • 凝聚態物理學
  • 硬體和架構
  • 電氣與電子工程

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