AIMC Topic: Imitative Behavior
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Motion Similarity Evaluation between Human and a Tri-Co Robot during Real-Time Imitation with a Trajectory Dynamic Time Warping Model.
Sensors (Basel, Switzerland)
Mar 2, 2022
Precisely imitating human motions in real-time poses a challenge for the robots due to difference in their physical structures. This paper proposes a human-computer interaction method for remotely manipulating life-size humanoid robots with a new met...
Experiments in artificial culture: from noisy imitation to storytelling robots.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Dec 13, 2021
This paper presents a series of experiments in collective social robotics, spanning more than 10 years, with the long-term aim of building embodied models of (aspects of) cultural evolution. Initial experiments demonstrated the emergence of behaviour...
Imitation and mirror systems in robots through Deep Modality Blending Networks.
Neural networks : the official journal of the International Neural Network Society
Nov 16, 2021
Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be a strategy adopted by biolog...
The early ontogeny of infants' imitation of on screen humans and robots.
Infant behavior & development
Jul 29, 2021
Traditionally, infants have learned how to interact with objects in their environment through direct observations of adults and peers. In recent decades these models have been available over different media, and this has introduced non-human agents t...
Preschoolers' Motivation to Over-Imitate Humans and Robots.
Child development
Aug 27, 2020
From preschool age, humans tend to imitate causally irrelevant actions-they over-imitate. This study investigated whether children over-imitate even when they know a more efficient task solution and whether they imitate irrelevant actions equally fro...
Achieving affective human-virtual agent communication by enabling virtual agents to imitate positive expressions.
Scientific reports
Apr 6, 2020
Affective communication, communicating with emotion, during face-to-face communication is critical for social interaction. Advances in artificial intelligence have made it essential to develop affective human-virtual agent communication. A person's b...
A network underlying human higher-order motor control: Insights from machine learning-based lesion-behaviour mapping in apraxia of pantomime.
Cortex; a journal devoted to the study of the nervous system and behavior
Oct 4, 2019
Neurological patients with apraxia of pantomime provide us with a unique opportunity to study the neural correlates of higher-order motor function. Previous studies using lesion-behaviour mapping methods led to inconsistent anatomical results, report...
Memristive Imitation of Synaptic Transmission and Plasticity.
IEEE transactions on neural networks and learning systems
Feb 11, 2019
In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemi...
Towards social autonomous vehicles: Efficient collision avoidance scheme using Richardson's arms race model.
PloS one
Oct 17, 2017
This paper presents the concept of a social autonomous agent to conceptualize such Autonomous Vehicles (AVs), which interacts with other AVs using social manners similar to human behavior. The presented AVs also have the capability of predicting inte...
Applying machine learning to identify autistic adults using imitation: An exploratory study.
PloS one
Aug 16, 2017
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repetitive motor movements are considered during diagnosis, quantitative measures that identify kinemati...
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