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If you want to learn robotics science using AI technology, the best way is to follow a structured approach and use top learning platforms. Here’s a step-by-step guide:

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Step 1: Understand the Basics of Robotics & AI

Before diving into AI-driven robotics, you need a foundation in:

• Robotics Fundamentals: Kinematics, dynamics, and control systems
• Artificial Intelligence (AI): Machine learning, deep learning, and neural networks
• Programming: Python, C++, and ROS (Robot Operating System)

Best Learning Platforms:

1. Coursera – “AI For Robotics” by Udacity, “Introduction to AI” by Stanford
2. Udemy – “Robotics with AI and Machine Learning”
3. MIT OpenCourseWare – Free courses on AI & Robotics
4. YouTube Channels – Free tutorials from Sentdex, AI Guy, and Robojax

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Step 2: Learn AI & Machine Learning for Robotics

AI is essential for making robots autonomous. Focus on:

• Computer Vision: OpenCV, TensorFlow, and YOLO
• Reinforcement Learning: Used in robotic decision-making
• Natural Language Processing (NLP): Voice commands for robots

Best Learning Platforms:

1. Google AI & TensorFlow Courses – Learn AI models
2. Fast.ai – Deep learning for robotics
3. Kaggle – Hands-on AI projects
4. OpenAI Gym – Learn reinforcement learning for robots

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Step 3: Hands-on Robotics Programming & Simulation

To gain practical skills, work on real robots or use simulators. Learn:

• ROS (Robot Operating System) – Essential for programming robots
• Gazebo & Webots Simulators – Simulate robotic movements
• Arduino & Raspberry Pi – Build simple AI-driven robots

Best Learning Platforms:

1. ROS.org – Official ROS tutorials
2. The Construct Sim – Learn ROS with hands-on practice
3. Arduino & Raspberry Pi Websites – DIY robotics projects
4. Robotics Academy – AI-based robotics learning

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Step 4: Work on Real Projects & AI-Powered Robots

Start applying AI in real-world robotics with:

• Autonomous Vehicles (Self-driving cars)
• AI-powered Drones & Robot Arms
• Humanoid & Assistive Robots

Best Learning Platforms:

1. Udacity Robotics Nanodegree – Advanced AI robotics
2. DeepLearning.AI – AI for self-driving cars
3. OpenAI Robotics – AI-powered robot models
4. NVIDIA Jetson Courses – Edge AI for robotics

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Step 5: Stay Updated & Join AI Robotics Communities

Robotics is constantly evolving. Stay connected with:

• IEEE Robotics & Automation Society
• AI & Robotics Conferences (ICRA, NeurIPS, CVPR)
• GitHub & Kaggle AI Challenges

Best Learning Platforms:

1. AI & Robotics Blogs (Towards AI, Robohub)
2. Reddit & Discord Robotics Communities
3. Online Hackathons & AI Competitions

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Final Thought

To master AI-powered robotics, start with theory, practice with simulators, work on real-world projects, and stay engaged in the community.

Would you like recommendations for a beginner project to start with?