Advancing Robotic Intelligence: The Role of Computer Vision and Mechanics in Control System Innovation

Abstract

The fusion of computer vision and mechanical engineering is revolutionizing robotic control 
systems, enabling smarter, more autonomous machines. This paper explores how real-time image 
processing, machine learning, and sensor fusion enhance robotic perception and decision-making. 
By integrating these capabilities with advanced mechanical actuation and adaptive control 
strategies, robots achieve greater precision, flexibility, and efficiency. Key innovations in motion 
planning, kinematics, and feedback control are examined, along with challenges and future 
directions in robotic intelligence. This study highlights the transformative impact of vision-driven 
mechanics on industrial automation, healthcare robotics, and autonomous navigation.