Line Robot Using Pick Line Sensor

Abstract

The use of line-following robots has gained significant attention in various industries and applications, including warehouse automation, industrial manufacturing, and logistics. These robots rely on advanced sensor technologies to navigate along predefined paths accurately. In this study, we present a novel approach for line robot navigation utilizing a pick line sensor. The pick line sensor is specifically designed to detect and follow lines marked on the floor, providing precise guidance for the robot's movement. The obstacle images are trained using neural network. The sensor employs a combination of infrared and reflective light technologies to analyze the surface and identify the path. By continuously monitoring the line position relative to the robot's position, the pick line sensor enables real-time adjustments, ensuring accurate and reliable navigation. To validate the effectiveness of the proposed approach, we conducted a series of experiments using a prototype line-following robot equipped with the pick line sensor. The results demonstrated successful line tracking capabilities, even in complex environments with varying lighting conditions and line patterns. The robot maintained a consistent and smooth trajectory along the designated path, showcasing the sensor's robustness and efficiency. The integration of the pick line sensor in line-following robots offers significant advantages, including enhanced navigation accuracy, reduced reliance on external infrastructure, and improved adaptability to dynamic environments. This research contributes to the development of advanced line robot systems and opens up possibilities for efficient and versatile robotic applications in diverse industries.