Development of low-cost stereoscopic vision systems for educational robotics: A state of the art

This paper explores the development of low-cost stereoscopic vision systems for robotics, with a focus on educational applications. Stereoscopic vision, essential for depth perception, allows robots to navigate and interact with their environment more effectively. However, the high cost and complexity of existing solutions limit their accessibility and integration into educational robotics. This review addresses these challenges by examining affordable technologies, such as FPV cameras and ESP32 microcontrollers, which are redefining the possibilities for cost-effective robotic systems. Through a systematic literature review, this study synthesizes findings from various academic databases, highlighting the technical advancements and educational applications of stereoscopic vision in small and mobile robots. It also presents case studies demonstrating the successful implementation of these low-cost systems in real-world scenarios, providing insights into their performance and the lessons learned. The findings suggest that integrating low-cost technologies not only makes robotic education more accessible but also enhances learning outcomes by providing students with hands-on experience in advanced robotic systems. This paper contributes to the ongoing discourse in robotic education by proposing scalable, cost-effective solutions that could be pivotal in democratizing advanced robotic technologies in educational settings.