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Journal ArticleDOI

Cognitive Developmental Robotics: A Survey

TLDR
Cognitive developmental robotics aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions through interactions with the environment, including other agents.
Abstract
Cognitive developmental robotics (CDR) aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions. The core idea of CDR is ldquophysical embodimentrdquo that enables information structuring through interactions with the environment, including other agents. The idea is shaped based on the hypothesized development model of human cognitive functions from body representation to social behavior. Along with the model, studies of CDR and related works are introduced, and discussion on the model and future issues are argued.

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Neuroscience 細胞死:最近の知見

廣瀬雄一
TL;DR: In this paper, the authors describe a scenario where a group of people are attempting to find a solution to the problem of "finding the needle in a haystack" in the environment.
Journal ArticleDOI

Building machines that learn and think like people.

TL;DR: In this article, a review of recent progress in cognitive science suggests that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn and how they learn it.
Journal ArticleDOI

Information-seeking, curiosity, and attention: computational and neural mechanisms

TL;DR: Eye movements reflect visual information searching in multiple conditions and are amenable for cellular-level investigations, which suggests that the oculomotor system is an excellent model system for understanding information-sampling mechanisms.
Journal ArticleDOI

Active learning of inverse models with intrinsically motivated goal exploration in robots

TL;DR: The Self-Adaptive Goal Generation Robust Intelligent Adaptive Curiosity (SAGG-RIAC) architecture is introduced as an intrinsically motivated goal exploration mechanism which allows active learning of inverse models in high-dimensional redundant robots.
Journal ArticleDOI

The challenges ahead for bio-inspired 'soft' robotics

TL;DR: Soft materials may enable the automation of tasks beyond the capacities of current robotic technology.
References
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Early socio–emotional development: Contingency perception and the social-biofeedback model.

TL;DR: In the early stages of human development, infants are sensitive to the existence of contingencies between their behavior and environmental events as mentioned in this paper, and the capacity to accurately interpret stimulation as contingent or not could well be viewed as the most fundamental of an infant's arsenal of innate modules for interpreting early sensory stimulation.
Journal ArticleDOI

Cognitive Developmental Robotics As a New Paradigm for the Design of Humanoid Robots

TL;DR: CDR may provide ways of understanding human beings that go beyond the current level of explanation found in the natural and social sciences and hold promise because they have many degrees of freedom and sense modalities and must face the challenges of scalability that are often side- stepped in simpler domains.
Journal ArticleDOI

The neonate brain detects speech structure

TL;DR: The ability of newborns to learn simple repetition-based structures in two optical brain-imaging experiments suggests that newborns are sensitive to certain input configurations in the auditory domain, a perceptual ability that might facilitate later language development.
Journal ArticleDOI

Differential facial responses to four basic tastes in newborns.

TL;DR: The distinctiveness and recognizability of taste-elicited facial expressions in newborns were examined in two studies as discussed by the authors, where the anatomically based Facial Action Coding System adapted for infants (Baby FACS) was used to obtain detailed, objective descriptions of the infants' videotaped facial responses to each solution.
Proceedings ArticleDOI

Versatile visual servoing without knowledge of true Jacobian

TL;DR: The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories, by using the estimated Jacobian matrix, which is proved by the Lyapunov stability theory.
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