Intelligent Gesture-based Robotic System With MEMS and RF Technology for Enhanced Motion Control using ESP32 CAM

In response to the increasing demand for seamless and intuitive interactions with robotic systems, necessitated by the limitations of traditional control methods, this study focuses on the design and implementation of an Intelligent Gesture-Based Robotic System. This innovative system utilizes MEMS technology and RF communication to facilitate enhanced motion control via real-time gesture recognition. By employing MEMS-based accelerometers, specifically ADXL 345/335, the system captures and interprets human gestures, whereas the ESP32-CAM module provides critical visual feedback. The proposed system prioritizes efficiency, scalability, and affordability, ensuring safety and versatility in various applications. Ultimately, it seeks to innovate robotic systems by using advanced gesture recognition and integrated technologies. The architecture is modular and promotes versatility in its various applications. This system aims to enhance human–robot interaction in practical and educational contexts.