AI for Robotics → Combining perception, decision-making, and control in robotic platforms.

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Introduction to AI in Robotics
1
- 1.1
  AI concepts, robotics vs AI, and intelligent system architecture.
Computer Vision Basics for Robotics
1
- 2.1
  Image representation, cameras, feature detection, and vision pipelines.
Perception & Object Recognition
1
- 3.1
  Object detection concepts, classification basics, and perception challenges.
Machine Learning Fundamentals for Robotics
1
- 4.1
  Supervised vs unsupervised learning, datasets, and training basics.
Decision-Making & Behavior Modeling
1
- 5.1
  State machines, planning basics, and AI-driven behavior control.
Intelligent Control Concepts
1
- 6.1
  Adaptive control, learning-based control, and AI-assisted feedback loops.
Integration with Robotic Systems
1
- 7.1
  Combining perception, decision-making, and control in robotic platforms.
Applications & Case Studies
1
- 8.1
  AI-powered robots in manufacturing, healthcare, and autonomous systems.

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