Published December 23, 2025 | Version v1

Artificial Intelligence-Powered Colour Recognition using Cobot Arms: Future Directions

  • 1. Department of Physics, Northwest University, Kano, Nigeria
  • 2. Department of Computer Science, Federal College of Agricultural Produce Technology (FCAPT), Kano, Nigeria
  • 3. Department of Computer Science, Audu Bako College of Agriculture Dambatta, Kano, Nigeria
  • 4. Department of Computer Science School of Technology Kano State Polytechnic, Nigeria
  • 5. Department of Mechatronics Engineering, Nigerian Defence Academy (NDA), Kaduna, Nigeria

Description

The design and development of an automated pick-and-place Cobot system for sorting black colors is presented in this work. Additionally, it suggested a way for the cobots to identify an object's color by using an infrared sensor to identify black, then using an Arduino Nano and servo motors to direct the robotic arm to pick and position the object in a predetermined location. The detection of randomly colored objects has been used to test the suggested intelligent device's performance. However, it will only identify, select, and transport black-object objects to the specified location. It is anticipated that the suggested solution will save labor expenses while boosting industry production and efficiency. Future directions for pick and place cobots with color detection include enhanced sensor integration for more complex sorting, the use of machine learning for adaptive and adaptive picking, and improved human-robot collaboration for color-based tasks. These advancements will enable cobots to handle a wider variety of items, adapt to changing conditions, and work alongside humans more effectively. The introduction of artificial intelligence (AI) will make the cobot arm more efficient and accurate. 

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