This study presents an adaptive positioning method for mobile cobots using a vision-based correction system integrated into a UR10 robotic arm. The approach involves two-stage positioning: the AMR (MiR100) docks at an initial location, then the vision system detects a reference marker to establish a local coordinate frame for precise task execution. This compensates for global positioning errors, enhancing repeatability and accuracy. Experimental validation on a CNC workstation confirmed improved alignment precision over standard AMR methods. The results highlight the potential of vision-based adaptive positioning for high-precision mobile cobot applications in dynamic industrial environments.

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Adaptive Positioning of a Mobile Robot for Precise Workstation Operation

  • Bartosz Poskart,
  • Grzegorz Iskierka,
  • Kamil Krot,
  • Paweł Krowicki

摘要

This study presents an adaptive positioning method for mobile cobots using a vision-based correction system integrated into a UR10 robotic arm. The approach involves two-stage positioning: the AMR (MiR100) docks at an initial location, then the vision system detects a reference marker to establish a local coordinate frame for precise task execution. This compensates for global positioning errors, enhancing repeatability and accuracy. Experimental validation on a CNC workstation confirmed improved alignment precision over standard AMR methods. The results highlight the potential of vision-based adaptive positioning for high-precision mobile cobot applications in dynamic industrial environments.