Foundations of Physical AI and Robotics

Explore the fascinating intersection of artificial intelligence and physical systems, where machines learn to perceive, decide, and act in the real world. This course provides a clear, foundational understanding of Physical AI, equipping you with the knowledge to comprehend the technologies driving modern robotics and intelligent automation. By the end, you will have a solid conceptual framework for understanding how AI powers physical devices and systems. What you'll learn: * Understand the fundamental concepts of Physical AI and its applications in robotics. * Learn how AI enables robots to perceive their environment using sensors and computer vision. * Apply basic principles of robot kinematics and control for movement and interaction. * Explore core machine learning techniques, including foundational reinforcement learning concepts, used in autonomous systems. * Grasp the challenges and ethical considerations in deploying AI in physical environments. * Familiarize yourself with the concept of Edge AI and its role in real-time physical AI applications. The course begins with essential terminology and concepts, progressing through the components of physical AI systems, perception, decision-making, and action, before concluding with practical considerations. This course is designed for absolute beginners with no prior experience in AI, robotics, or advanced programming, who are eager to understand how intelligent machines function. Begin your journey into the exciting world of Physical AI today.