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Lorenzo Natale1, Francesco Orabona, Giorgio Metta

  • 1Italian Institute of Technology, via Morego 30, 16163, Genoa, Italy.

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This study presents a developmental humanoid robot that first learns its own body shape. It then uses this "body schema" to interact with and learn about external objects.

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Area of Science:

  • Robotics
  • Developmental Psychology
  • Artificial Intelligence

Background:

  • Humanoid robot design often focuses on external tasks.
  • Robots typically lack an intrinsic understanding of their own bodies.
  • Developmental approaches offer a novel paradigm for robot learning.

Purpose of the Study:

  • To present a developmental approach for humanoid robot design.
  • To enable a robot to first understand its own body before interacting with the environment.
  • To establish a foundation for sophisticated sensorimotor coordination and object recognition.

Main Methods:

  • The robot begins with basic perceptual and motor skills.
  • It engages in self-exploration to define its body schema.
  • Sensorimotor coordination is achieved through explorative behaviors and visual routines.
  • Object interaction is used for visual model acquisition and attention system development.

Main Results:

  • The robot successfully constructs a "body schema" through self-exploration.
  • It develops the ability to control its limbs for object manipulation.
  • A transition from bottom-up to top-down attention systems is demonstrated.
  • The robot acquires visual models of objects for guided interaction.

Conclusions:

  • A developmental, body-centric approach is effective for humanoid robot learning.
  • The "body schema" is crucial for enabling interaction with the external world.
  • This methodology facilitates the development of sophisticated attention and control systems in robots.