Corpus ID: 3085316

Babybot : an artificial developing robotic agent

@inproceedings{Metta2000BabybotA,
  title={Babybot : an artificial developing robotic agent},
  author={G. Metta and F. Panerai and R. Manzotti and G. Sandini},
  year={2000}
}
  • G. Metta, F. Panerai, +1 author G. Sandini
  • Published 2000
  • The study of development, either artificial or biological, can highlight the mechanisms underlying learning and adaptive behavior. We shall argue whether developmental studies might provide a different and potentially interesting perspective either on how to build an artificial adaptive agent, or on understanding how the brain solves sensory, motor, and cognitive tasks. It is our opinion that the acquisition of the proper behavior might indeed be facilitated because within an ecological context… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 25 REFERENCES
    A developmental approach to visually-guided reaching in artificial systems
    • 81
    • PDF
    Sensory - motor coordination: The metaphor and beyond
    • 201
    • PDF
    The neural basis of cognitive development: a constructivist manifesto.
    • 737
    • PDF
    The transition to reaching: mapping intention and intrinsic dynamics.
    • 558
    Principles of animate vision
    • 222
    Vector field approximation: a computational paradigm for motor control and learning
    • 102
    Postural primitives: Interactive Behavior for a Humanoid Robot Arm
    • 80
    Complex continuous meaningful humanoid interaction: a multi sensory-cue based approach
    • 44
    • PDF