Voice Control Robot with Object Detection and Picking

Abstract

Automation and robotics continue to revolutionize industries, enhancing efficiency and productivity across various domains. In pursuit of this automation, the development of voice-controlled robots with object detection and picking capabilities represents a promising frontier. This project explores the convergence of hardware and software technologies to create a versatile robot that responds to voice commands, perceives its environment through object detection, and executes tasks such as object picking and placement. The hardware foundation of the project centres on the ESP32-S3 microcontroller, integrating sensors, motors, and a camera module. The software stack encompasses speech recognition for natural language voice commands and object detection powered by deep learning models. The project aims to design an intuitive user interface for remote control, providing users with the ability to command the robot seamlessly. Through a comprehensive literature review, we delve into the evolution of speech recognition, object detection, and human-robot interaction, shedding light on the theoretical and practical aspects of the project. Real-world applications across industries underscore the project's potential, from warehouse automation to healthcare assistance. However, challenges such as real-time processing, accurate object recognition, and human-robot interaction complexity are acknowledged. The project's future directions emphasize the need for ongoing research to refine the technology's capabilities and overcome existing limitations. This voice-controlled robot with object detection and picking project presents a compelling fusion of cutting-edge technology and practical utility, contributing to the ever-expanding field of robotics automation.