The work area in robotics and automation is continuously evolving, with a focus on exploring innovative solutions. One significant aspect is improving patient care through the timely delivery of medication. Line-following robots play a crucial role in various applications, including healthcare. Currently, there are challenges in optimizing medication delivery in the healthcare industry. The existing methods used for Automated Guided Vehicles (AGVs) optimization can be time-consuming. However, efficient AGV battery charging is essential for smooth operations. To address these issues, a proposed methodology involves an advanced system that utilizes line-following robots specifically designed for healthcare settings. These robots utilize RGB color technology to ensure precise path following. Additionally, a fuzzy logic-based collision avoidance system is implemented to enhance the safety of AGVs. The expected result is enhanced patient care through timely medication delivery, versatile line-following robots that excel in competitions, improved AGV efficiency, and extended battery life. It is important to consider the merits and demerits of this approach, which include continuous patient-centered care, but also require an initial infrastructure investment. Furthermore, while enhancing AGV efficiency, there may be potential computational demands. Finally, the utilization of RGB color line-tracking technology offers accuracy but can be influenced by variations in lighting conditions. This summary encapsulates the research study regarding the creation and advancement of Automated Guided Vehicles (AGVs) for indoor logistics utilizing color-based navigation. The research focuses on various keywords such as robotics, automation, patient care, medication delivery, line-tracking robots, optimization of AGVs, and the implementation of RGB color technology.