Machine learning is concerned with applications like , image classification , YouTube recommendations finding patterns automatically, and data mining.
On the other side robotics is concerned with mechanics , electronics , programming with different languages, embedded systems, control theory AND machine learning and AI as well.
To design and operate a drone you have to study robotics and if you need to extend its abilities you can use AI for advanced missions.
Robotics relies mainly on physical modeling to design a solution or applications, while AI relies on data patterns to get a solution.
You can think of the difference between them as the difference between math and physics
We can say that machine learning and AI are like a tool for the robotics and other fields as well .
You can know more about robotics and its top-notch frame work ROS “Robot Operating System” from my ARABIC online course ROS from Zero to Hero: A Consistent Project-based Approach
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ReplyDeleteDeep learning has significantly expanded the capabilities of traditional machine learning by enabling advanced applications such as autonomous vehicles, image recognition, generative AI, and conversational systems. Neural network architectures such as CNNs, RNNs, and transformers are now widely used for solving complex computational problems that require large-scale data processing and intelligent decision-making. Understanding the relationship between AI, machine learning, and deep learning helps developers build scalable and adaptive intelligent systems for real-world applications. Students and researchers who want to work on advanced neural network models and AI-powered solutions can also refer to Deep Learning Projects for Final Year to explore modern AI architectures and intelligent computing technologies.
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