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A Framework to Describe, Analyze and Generate Interactive Motor Behaviors

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TLDR
A taxonomy of interactive behaviors is introduced, which can classify tasks and cost functions that represent the way each agent interacts and enables us to interpret and explain the role distribution and switching between roles when performing joint motor tasks.
Abstract
While motor interaction between a robot and a human, or between humans, has important implications for society as well as promising applications, little research has been devoted to its investigation. In particular, it is important to understand the different ways two agents can interact and generate suitable interactive behaviors. Towards this end, this paper introduces a framework for the description and implementation of interactive behaviors of two agents performing a joint motor task. A taxonomy of interactive behaviors is introduced, which can classify tasks and cost functions that represent the way each agent interacts. The role of an agent interacting during a motor task can be directly explained from the cost function this agent is minimizing and the task constraints. The novel framework is used to interpret and classify previous works on human-robot motor interaction. Its implementation power is demonstrated by simulating representative interactions of two humans. It also enables us to interpret and explain the role distribution and switching between roles when performing joint motor tasks.

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打磨Using Language,倡导新理念

付伶俐
TL;DR: Using Language部分的�’学模式既不落俗套,又能真正体现新课程标准所倡导的�'学理念,正是年努力探索的问题.
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A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction

TL;DR: This review provides a unifying view of human and robot sharing task execution in scenarios where collaboration and cooperation between the two entities are necessary, and where the physical coupling ofhuman and robot is a vital aspect.
Journal ArticleDOI

Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017

TL;DR: A literature review of major recent works on human–robot interactions in industrial collaborative robots, conducted during the last decade (between 2008 and 2017), and a tentative classification of the content of these works into several categories and sub-categories is proposed.
Journal ArticleDOI

Continuous Role Adaptation for Human–Robot Shared Control

TL;DR: A role adaptation method for human-robot shared control is proposed such that the robot is able to adjust its own role according to the human's intention to lead or follow, which is inferred through the measured interaction force.
References
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Book

The Evolution of Cooperation

TL;DR: In this paper, a model based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game was developed for cooperation in organisms, and the results of a computer tournament showed how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established.
Journal ArticleDOI

The Evolution of Reciprocal Altruism

TL;DR: In this paper, a model is presented to account for the natural selection of what is termed reciprocally altruistic behavior, and the model shows how selection can operate against the cheater (non-reciprocator) in the system.
Book

Biomechanics and Motor Control of Human Movement

TL;DR: The Fourth Edition of Biomechanics as an Interdiscipline: A Review of the Fourth Edition focuses on biomechanical Electromyography, with a focus on the relationship between Electromyogram and Biomechinical Variables.
Journal ArticleDOI

Equilibrium points in n-person games

TL;DR: A concept of an n -person game in which each player has a finite set of pure strategies and in which a definite set of payments to the n players corresponds to each n -tuple ofpure strategies, one strategy being taken for each player.
Book ChapterDOI

Non-cooperative games

John F. Nash
TL;DR: In this article, it was shown that the set of equilibrium points of a two-person zero-sum game can be defined as a set of all pairs of opposing "good" strategies.
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