Design and Implement of Smart Voice Controlled Two-Wheeled Self-Balancer for Following and Avoidance

บทคัดย่อ

Self-balancing robots, traditionally used for entertainment or educational purposes, are now increasingly being explored for their potential to assist elderly people and individuals with limited mobility. Such robots can provide various functionalities such as transportation, monitoring, and interaction, improving the quality of life for users. However, existing two-wheeled self-balancing robots mainly focus on basic mobility and remote control through mobile applications, with limited emphasis on human-robot interaction and adaptability to dynamic environments. This paper proposes a solution to enhance the interaction capabilities of self-balancing robots by integrating voice control and intelligent following/obstacle avoidance features. Traditional remote control methods may not be intuitive for all users, especially elderly or disabled individuals, who could benefit more from voice commands that allow hands-free operation. Additionally, in the dynamic home environment, robots must be able to follow users while avoiding obstacles autonomously, ensuring both efficiency and safety. Thus, this study aims to design and implement an intelligent system that combines offline speech recognition with ultrasonic sensor-based following and obstacle avoidance, providing a more seamless and user-friendly experience.