Building Smarter Robots: How Computer Vision and Mechanics Drive Control System Innovation

Abstract

This paper explores the integration of computer vision and mechanical engineering principles in the development of advanced robotic control systems. By leveraging computer vision technologies, robots can perceive and interpret their surroundings, enhancing their ability to navigate and interact with dynamic environments. This synergy between computer vision and mechanics not only improves the performance and efficiency of robotic systems but also enables the creation of more intelligent and autonomous machines. Through a review of recent advancements, case studies, and practical applications, this study highlights the transformative impact of these technologies on various fields, including manufacturing, healthcare, and service industries. Ultimately, the findings suggest that the collaboration between computer vision and mechanical engineering is crucial for the next generation of robotics, driving innovation and expanding the potential applications of intelligent robotic systems.