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⏱ 2h 54m📚 29 lessons
Foundations of Robotics with Programming
Learn the core principles of robotics, from mathematical concepts to programming logic, to understand how intelligent machines operate and interact with their environment.
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About this course
Are you curious about the world of robots and how they work? This course introduces you to the essential concepts and interdisciplinary foundations behind modern robotics. By completing this course, you will develop a solid theoretical understanding of robotics, enabling you to grasp the fundamental principles that drive autonomous systems and prepare you for further specialized study. What you'll learn: Understand the core components and classifications of robotic systems. Learn fundamental mathematical concepts essential for robot kinematics and control. Apply basic programming logic to simulate simple robotic behaviors and decision-making. Explore the principles of sensor integration and basic data interpretation in robotic applications. Grasp the concepts of feedback control systems and their role in robot movement. Develop an appreciation for the ethical considerations and societal impact of robotics. The course begins with an introduction to the history and definitions of robotics, then progressively builds your knowledge through foundational mathematics, programming concepts, and practical applications. You will read through detailed explanations and practice your understanding with written exercises. This course is designed for absolute beginners with no prior experience in robotics. A basic familiarity with general programming logic and high school level mathematics is helpful but not strictly required, as key concepts are explained from the ground up. Start your journey into the exciting field of robotics today and discover the intelligence behind machines.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 2h 54m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.