Advancing Autonomous Navigation in Mobile Robots with Arm Integration: Pioneering Service Robotics for Minimal Human Involvement

Abstract

Robotics offers a powerful platform for testing theories from developmental psychology and cognitive science, aiming not only to create biologically inspired robots but also to deepen our understanding of these human functions. By combining computer vision, robotics, and embedded systems, this project has shown the potential to transform numerous sectors. The system consists of several crucial components: a Raspberry Pi, a camera module, a robotic arm equipped with servo motors, a mobile platform, and a collection of computer vision algorithms. The Raspberry Pi functions as the central processor of the robot, managing image processing, decision-making, and the control of the robotic arm. The camera module captures live images of tomato plants, which are processed by the computer vision algorithms running on the Raspberry Pi. These algorithms are designed to identify ripe tomatoes by conducting color segmentation, contour detection, and feature extraction. Moreover, reducing labor dependency can alleviate the physical strain and health risks associated with manual tasks, enhancing the quality of life for workers. This technology's social impact includes the potential for job creation in robotics, computer vision, and technology sectors, driving innovation and economic growth across various industries