Integrating Computer Vision and Mechanical Engineering for Advanced Robot Control Systems

Abstract

The integration of computer vision and mechanical engineering is transforming the field of robotics, enabling the development of advanced robotic control systems that are more efficient, accurate, and adaptable. This paper explores the symbiotic relationship between these two domains and their collective contribution to the evolution of intelligent robots. Computer vision technologies empower robots to perceive and interpret their environment, providing real-time data for decision-making and object recognition. Meanwhile, mechanical engineering ensures the design and construction of robust robotic structures capable of executing complex tasks with precision. By combining these technologies, robotic systems can achieve a higher level of autonomy, adaptability, and performance, especially in dynamic and unstructured environments. The paper also delves into the challenges and innovations in integrating these technologies, focusing on sensor fusion, real-time processing, and the optimization of control algorithms.