AI agents are crucial in modern robotics, enabling robots to perform complex tasks autonomously. They empower robots with advanced perception capabilities, allowing them to interpret sensory data like camera feeds and lidar scans for accurate environmental understanding. Furthermore, AI agents facilitate intelligent decision-making and task planning, helping robots navigate intricate environments, avoid obstacles, and plan optimal paths in real-time. In manufacturing, they optimize assembly lines through predictive maintenance and adaptive control systems. They also enhance human-robot interaction (HRI) by understanding natural language commands and anticipating user intentions, making robots more intuitive and collaborative. This integration allows robots to continuously learn and adapt, improving their performance and utility across diverse applications from healthcare to logistics.