Towards robust human robot collaboration in industrial environments

In this paper a system, which is driven through natural language, that allows operators to select and manipulate objects in the environment using an industrial robot is proposed. In order to hide the complexities of robot programming we propose a natural language where the user can control and jog t...

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Main Authors: Akan, Batu, Curuklu, Baran, Spampinato, Giacomo, Asplund, Lars
Format: Conference Proceeding
Language:English
Subjects:
Automatic speech recognition
Collaboration
Human robot interaction
Humans
Layout
Natural languages
Object selection
Robot collaboration
Robot programming
Robotics and automation
Robustness
Service robots
Speech synthesis
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creator Akan, Batu
Curuklu, Baran
Spampinato, Giacomo
Asplund, Lars
description In this paper a system, which is driven through natural language, that allows operators to select and manipulate objects in the environment using an industrial robot is proposed. In order to hide the complexities of robot programming we propose a natural language where the user can control and jog the robot based on reference objects in the scene. We used semantic networks to relate different types of objects in the scene.
doi_str_mv 10.1109/HRI.2010.5453264
format conference_proceeding
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identifier ISSN: 2167-2121
ispartof 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2010, p.71-72
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source IEEE Xplore All Conference Series
subjects Automatic speech recognition
Collaboration
Human robot interaction
Humans
Layout
Natural languages
Object selection
Robot collaboration
Robot programming
Robotics and automation
Robustness
Service robots
Speech synthesis
title Towards robust human robot collaboration in industrial environments
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