Cognitive developmental robotics as a new paradigm for the design of humanoid robots

Asada, Minoru; MacDorman, Karl F.; Ishiguro, Hiroshi; Kuniyoshi, Yasuo

doi:10.1016/s0921-8890(01)00157-9

Cited by 352 publications

(169 citation statements)

References 26 publications

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“…More specifically, by 6 months infants begin breaking mutual gaze with their mother to look at distal objects. Also, interest in inanimate objects increases from 3 to 6 months [1], so competition for infants' attention between one interesting stimulus (i.e. caregiver's face) and another (e.g.…”

Section: The Basic Setmentioning

confidence: 99%

Combining embodied models and empirical research for understanding the development of shared attention

Fasel¹,

Deák²,

Triesch³

et al.

Proceedings 2nd International Conference on Development and Learning. ICDL 2002

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The capacity for shared attention is a cornerstone of human social intelligence. We propose that the development of shared attention depends on a proper interaction of motivational biases and contingency learning mechanisms operating in an appropriately structured environment. Atypical contingency learning leads to deficits in shared attention as seen in children with autism. To test this theory, we describe a unique research effort that combines theoretically rigorous modeling techniques using both simulated and robotic learning systems with novel empirical investigations of social learning and development in infants and toddlers with and without developmental disabilities. We believe that studying embodied learning models, whose input data (from a real or virtual caregiver) is modeled after real infant-caregiver interactions, will lead to a better understanding of the development and dysfunction of shared attention.

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Section: The Basic Setmentioning

confidence: 99%

Combining embodied models and empirical research for understanding the development of shared attention

Fasel¹,

Deák²,

Triesch³

et al.

Proceedings 2nd International Conference on Development and Learning. ICDL 2002

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“…These, it is hoped, may converge with functional and biological approaches [12]. Powers can be traced, as Asada et al propose [15], to interactional history. Given co-evolutionary processes, functions can use a mutual relation between social interaction and biology.…”

Section: Introductionmentioning

confidence: 95%

“…Often they are defended by post-hoc psychological benchmarks [12] [13] [14]. Others reject synchronic models for ones that stress development and interaction [15]. These, it is hoped, may converge with functional and biological approaches [12].…”

Section: Introductionmentioning

confidence: 99%

Robots as social mediators: coding for engineers

Nabe¹,

Cowley²,

Kanda³

et al. 2006

ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication

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Abstract-Coding can contribute to robot design by suggesting behavioural benchmarks. These, however, depend on the level of analysis. In illustration, semi-formalised rules are used to investigate child-robot encounters. By using behaviour-level codes, we extract information about how children use the robot. This leads to findings about longditudinal changes in how children evaluate its behaviours. Children, we find, use the robot as a social mediator-to prompt synchronized social events. By focusing on a behavioural level, coding can benefit designers of robots, software and sensors.

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“…Developmental psychologists show that infant's vowel-like cooing tends to invoke utterances by its mother's imitation (Masataka and Bloom [5]) and that maternal imitation effectively reinforces infant vocalization (Pel'aez et al [6]). Therefore, we may assume that the interactions between mother and infant enables the infants to understand and imitate the mother's voice, and our group has applied this idea to designing the vocal robots and interaction with their caregivers in the context of cognitive developmental robotics [7].…”

Section: Introductionmentioning

confidence: 99%

Realizing being imitated: Vowel mapping with clearer articulation

Miura¹,

Yoshikawa

Asada³

2008

2008 7th IEEE International Conference on Development and Learning

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Abstract-The previous approach to vowel imitation learning between a caregiver and an infant (robot) [1] has assumed that the robot can segment the caregiver's utterance into its phoneme category, where the caregiver always imitates the robot utterance. However, in real situations, the caregiver does not always imitate the robot utterance, nor the robot does have the phoneme category (no segmentation capability). This paper presents a method to solve these issues, a weakly-supervised learning along with auto-regulation, that is active selection of action and data with underdeveloped classifier. To cope with notalways imitation problem, a weakly-supervised learning method is applied that is capable to handle incompletely segmented samples (not perfectly imitated voices). Further, the regulation classifier of the imitated voices is recursively applied in order to select good vocal primitives and to segment caregiver's imitated voices that improve the performance of the classifier itself. The simulation results are shown and the future issues are given.

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Cognitive developmental robotics as a new paradigm for the design of humanoid robots

Cited by 352 publications

References 26 publications

Combining embodied models and empirical research for understanding the development of shared attention

Combining embodied models and empirical research for understanding the development of shared attention

Robots as social mediators: coding for engineers

Realizing being imitated: Vowel mapping with clearer articulation

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