A data-driven approach for motion planning of industrial robots controlled by high-level motion commands

HIGHLIGHTS

  • who: January et al. from the University of Luxembourg, Luxembourg Islamic Azad University of Najafabad, Iran have published the article: A data-driven approach for motion planning of industrial robots controlled by high-level motion commands, in the Journal: (JOURNAL)
  • what: The works mentioned above focus on improving and verifying the performance of collision-free motion planning algorithms in simulation environments rather than on how to deploy the planned robot motion in real robot systems. In contrast to the approaches described in_(Bhardwaj et_al, 2017; Huh and Lee, 2018; Jurgenson and Tamar, 2019; Qureshi et_al . . .

     

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