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Application of YOLO Detection Algorithm in Industrial Robot Assembly Operations

  

  1. a. Faculty of Electrical and Mechanical Engineering; b. Faculty of Training and Innovation and Entrepreneurship; c. Academic Affairs Office, Kunming Metallurgy University, Kunming 650033, China

  • Online:2026-08-31 Published:2026-09-04

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Abstract:

Based on the Intelligent Inspection and Assembly Workstation Training Platform for Industrial Robots, this paper addresses the challenges of part category and color recognition encountered during the "articulated model" assembly process of industrial robots. Focusing on the innovative application of YOLO algorithm in industrial robotic assembly operations, we conducted high-efficiency and high-precision recognition experiments for component types, colors, and output flange axis angles. The results validate that the YOLO detection algorithm demonstrates extensive application potential in industrial robotic assembly tasks. The recognition outcomes are directly communicated with the industrial robot (ABB IRB 120) through LAN, significantly enhancing assembly efficiency and quality consistency.

Key words:  industrial robot, machine vision, YOLO object detection

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