Synergizing Computer Vision and Mechanical Engineering in Robotic Control Systems

Abstract

This paper explores how the synergistic combination of advanced vision algorithms and innovative mechanical engineering principles enhances the performance, autonomy, and adaptability of robots in complex environments. By leveraging computer vision, robots gain the ability to perceive, interpret, and respond to their surroundings with higher precision. Meanwhile, optimized mechanical designs ensure efficient movement, structural stability, and effective interaction with the physical world. The study highlights key advancements, challenges, and future directions in the field, emphasizing how these technologies are converging to build more capable, responsive, and intelligent robotic systems.