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Chapter 7: AI for Robotics

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Introduction to AI in Robotics​

Artificial Intelligence is the cornerstone of modern robotics, enabling machines to perceive, reason, and act intelligently in dynamic environments.

Machine Learning Fundamentals​

Supervised Learning​

  • Classification algorithms
  • Regression techniques
  • Training and validation

Reinforcement Learning​

  • Q-Learning
  • Policy Gradient Methods
  • Deep Reinforcement Learning

Neural Networks for Robotics​

Deep Learning Architectures​

  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Transformer models

Applications in Robotics​

  • Object detection and recognition
  • Path planning and navigation
  • Manipulation and grasping
  • Human-robot interaction

Summary​

AI empowers robots to learn from experience, adapt to new situations, and perform complex tasks with increasing autonomy and intelligence.

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