Integrating Computer Vision and Mechanical Design for Advanced Intelligent Robotics

Abstract

The integration of computer vision and mechanical design is driving the evolution of intelligent 
robotic systems, enabling enhanced perception, adaptability, and precision. This paper explores 
how real-time visual processing, deep learning, and sensor fusion are combined with advanced 
mechanical structures and control mechanisms to optimize robotic performance. By leveraging AIdriven vision systems and adaptive actuation, robots can navigate complex environments, execute 
intricate tasks, and respond dynamically to changing conditions. Key innovations in motion 
planning, feedback control, and mechatronics are discussed, along with challenges and future 
research directions. This study highlights the transformative impact of vision-guided mechanical 
design on industrial automation, healthcare robotics, and autonomous systems.