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Chapter 2: Artificial Intelligence in Humanoids

Artificial intelligence is the core of a humanoid robot. It enables the robot to understand, learn, and make decisions instead of following fixed instructions.

Perception Systems​

AI humanoids use perception systems to understand their surroundings:

  • Computer vision for recognizing objects and faces
  • Speech recognition for understanding spoken language
  • Sensor data processing for touch and balance

Decision Making​

Once information is perceived, AI systems analyze it using:

  • Rule-based logic
  • Machine learning models
  • Neural networks for complex reasoning

These systems help humanoids decide how to respond to different situations.

Learning Capabilities​

Humanoid robots can improve over time using:

  • Supervised learning (learning from examples)
  • Reinforcement learning (learning through trial and feedback)
  • Deep learning (handling complex patterns and behaviors)

AI allows humanoids to adapt, making them more useful and intelligent over time.