Journal ArticleDOI
Cognitive Developmental Robotics: A Survey
M. Asada,Koh Hosoda,Yasuo Kuniyoshi,Hiroshi Ishiguro,Toshio Inui,Yuichiro Yoshikawa,Masaki Ogino,C. Yoshida +7 more
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.read more
Citations
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Neuroscience 細胞死：最近の知見
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
Jacqueline Gottlieb,Pierre-Yves Oudeyer,Pierre-Yves Oudeyer,Manuel Lopes,Manuel Lopes,Adrien Baranes +5 more
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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Journal ArticleDOI
A Computational Model for Taxonomy-Based Word Learning Inspired by Infant Developmental Word Acquisition
Akira Toyomura,Takashi Omori +1 more
TL;DR: This study proposes a taxonomy-based word-learning model using a neural network that can build categories and find the name of an object based on categorization and shows that it can be used to solve the problem of user-customized and situation-dependent interaction using language.
Proceedings ArticleDOI
External rotation as morphological bootstrapping for emergence of biped walking
Koh Hosoda,Yoichiro Ishii +1 more
TL;DR: It is hypothesized that external rotation of the hip joint plays an essential role for emergence of bipedal walking in human infancy and an infant robot “Pneu-born 13” driven by pneumatic artificial muscles is built to get biologically plausible results.