In the rapidly developing field of robotics, human-robot interaction systems are needed to increase the integration of robots into daily human activities. IoT and machine learning are being used to identify people based on their facial features. Biometric systems record the physical characteristics of the faces in a digital environment and can be used for pattern recognition. One of the behaviors that robots must learn to become intelligent is following humans. To interact with humans, robots need to be familiar with objects, and structures in human living environments. The main objective of this study is to present the process of developing a usable robotic tool that can be applied in various fields. Real-time face recognition is the main goal, and intelligent face recognition technology can transform many industries and improve the user experience.

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Design of the Human Following Robot Using Raspberry Pi

  • Fatima Sapundzhi,
  • Mirza Mashfiqur Rahman,
  • Slavi Georgiev,
  • Venelin Todorov

摘要

In the rapidly developing field of robotics, human-robot interaction systems are needed to increase the integration of robots into daily human activities. IoT and machine learning are being used to identify people based on their facial features. Biometric systems record the physical characteristics of the faces in a digital environment and can be used for pattern recognition. One of the behaviors that robots must learn to become intelligent is following humans. To interact with humans, robots need to be familiar with objects, and structures in human living environments. The main objective of this study is to present the process of developing a usable robotic tool that can be applied in various fields. Real-time face recognition is the main goal, and intelligent face recognition technology can transform many industries and improve the user experience.