Algorithms to Action

Autonomous systems represent the cutting edge of technology, where intelligent machines are empowered to perceive, decide, and act independently in complex, real-world environments. At the heart of these systems lie sophisticated AI algorithms that transform raw data into actionable insights, enabling machines to navigate, learn, and collaborate without human intervention. From self-driving cars and delivery drones to industrial robots and healthcare assistants, the journey from algorithmic theory to practical, real-time action is both challenging and fascinating.This book explores how AI algorithms-ranging from machine learning and computer vision to reinforcement learning and sensor fusion-are designed and integrated to drive autonomous systems that are safe, reliable, and adaptive, marking a transformative shift in how machines interact with the world around us.