Engineering Intelligent Robotics: The Transformative Role of Computer Vision in Control Systems

Abstract

Computer vision is revolutionizing robotic control systems by enabling machines to perceive, 
analyze, and interact with their environment with unprecedented accuracy. This paper explores the 
integration of advanced visual processing, deep learning, and sensor fusion with robotic mechanics 
to enhance autonomy and precision. By leveraging real-time image analysis and adaptive control 
mechanisms, robots can navigate complex environments, optimize motion planning, and improve 
decision-making. Key developments in perception-driven actuation, feedback control, and AIdriven robotics are discussed, along with challenges and future research directions. This study 
highlights the critical role of computer vision in shaping the next generation of intelligent robotic 
systems.