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A survey of socially interactive robots

TLDR
The context for socially interactive robots is discussed, emphasizing the relationship to other research fields and the different forms of “social robots”, and a taxonomy of design methods and system components used to build socially interactive Robots is presented.
About
This article is published in Robotics and Autonomous Systems.The article was published on 2003-03-31 and is currently open access. It has received 2869 citations till now. The article focuses on the topics: Media Lab Europe's social robots & Human–robot interaction.

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Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands.

TL;DR: The framework, called Generalized Grounding Graphs (G 3), addresses issues by defining a probabilistic graphical model dynamically according to the linguistic parse structure of a natural language command, and enables robots to learn word meanings and use those learned meanings to robustly follow natural language commands produced by untrained users.
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Exemplar-based facial expression recognition

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Proceedings ArticleDOI

Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head

TL;DR: This paper uses gaze imitation, coupled with task-dependent saliency learning, to build a state of shared attention between the instructor and observer and suggests that the ability to follow gaze and learn instructor-and task-specific saliency models could play a crucial role in building systems capable of complex forms of human-robot interaction.
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Reinforcement Learning Approaches in Social Robotics

TL;DR: A survey of reinforcement learning approaches in social robotics can be found in this paper, where the authors focus on studies that include social physical robots and real-world human-robot interactions with users.
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Perception and Generation of Affective Hand Movements

TL;DR: A computational model for recognizing and generating affective hand movements for display on anthropomorphic and non-anthropomorphic structures achieves zero leave-one-out cross validation errors and a significant effect of structure on the perception of affective movements is observed.
References
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Book

The Expression of the Emotions in Man and Animals

TL;DR: The Expression of the Emotions in Man and Animals Introduction to the First Edition and Discussion Index, by Phillip Prodger and Paul Ekman.
Book

Fundamentals of speech recognition

TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.
BookDOI

Swarm intelligence: from natural to artificial systems

TL;DR: This chapter discusses Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks, and its application to Data Analysis and Graph Partitioning.
Book

The Cognitive Structure of Emotions

TL;DR: In this paper, a cognitive theory of emotion is proposed, which describes the organization of emotion types and the implications of the emotions-as-valenced-reactions claim, and the boundaries of the theory Emotion words and cross-cultural issues.
Book

The Intentional Stance

TL;DR: The Intentional Stance as discussed by the authors is the first full-scale presentation of a theory of intentionality that has been developed for almost twenty years, and it can be seen as a pre-emptive strategy of interpretation that presupposes the rationality of the people or other entities we are hoping to understand and predict.
Frequently Asked Questions (12)
Q1. What contributions have the authors mentioned in the paper "A survey of socially interactive robots: concepts, design, and applications" ?

This report reviews “ socially interactive robots ”: robots for which social human-robot interaction is important. The authors begin by discussing the context for socially interactive robots, emphasizing the relationship to other research fields and the different forms of “ social robots ”. The authors then present a taxonomy of design methods and system components used to build socially interactive robots. Following this taxonomy, the authors survey the current state of the art, categorized by use and application area. Finally, the authors describe the impact of these these robots on humans and discuss open issues. An abbreviated version of this report, which does not contain the application survey, is available as [ T. Fong, I. Nourbakhsh, K. Dautenhahn, A survey of socially interactive robots, Robotics and Autonomous Systems 

Given that the authors expect social robots to play increasingly larger roles in daily life, there is a strong need for field studies to examine how people behave when robots are introduced into their activities. 

Others important advantages are:• Robots can provide a stimulating and motivating influence that make living conditions or particular treatments more pleasant and endurable, an effect that has particular potential for children or elderly people. 

The measures consist of: scales for rating anthropomorphic and mechanistic dimensions; measures of model richness or certainty; and measures of compliance with a robot’s requests. 

Following their ethic of task-based and contextbased design, Severinson-Eklundh et al. identified two critical communicative needs of a fetch-andcarry robot. 

The creation of compelling anthropomorphic robots is a massive engineering challenge; yet, in the case of both Sony and Honda it is clear that the single largest hurdle involved actuation. 

Through such empowerment, fear or shyness towards technology can be transformed dramatically into interest in exploring technology and even altering its course. 

Aoki et al. contend that studies of rat-like robots will lead to better understanding of human behavior, in the same manner that animal experimentation (especially on rats) does. 

They contend that directed instruction, whereby a human teaches a robot using a carefully engineered feedback and reward mechanism, is constraining and ultimately unable to scale. 

In part, the argument is that in order for a robot to interact with humans as humans do (through gaze, gesture, vocalization, etc.), it must be structurally and functionally similar to a human. 

There is reason to believe that if a robot had a compelling personality, people would be more willing to interact with it and to establish a relationship with it[27,116]. 

Although human-robot communication can occur in many different ways, the authors consider there to be three primary types of dialogue: low-level (pre-linguistic), non-verbal, and natural language.