NDLI: Safer hybrid workspace using human-robot interaction while sharing production activities

Content Provider	IEEE Xplore Digital Library
Author	Meziane, R. Ping Li Otis, M.J.-D. Ezzaidi, H. Cardou, P.
Copyright Year	2014
Description	Author affiliation: REPARTI Center, Laval Univ., Quebec City, QC, Canada (Cardou, P.) \|\| REPARTI Center, Univ. of Quebec at Chicoutimi, Chicoutimi, QC, Canada (Meziane, R.; Ping Li; Otis, M.J.-D.; Ezzaidi, H.)
Abstract	In a near future, human and industrial manipulator will work together sharing a common workspace and production activities leading to a potential increase of accident. The research project concerns the adaptation of industrial robot already installed in a flexible manufacturing system in order to make it more interactive with human. The aim concerns the reduction of potential risk of injuries while working with an industrial robot. This paper presents a new inexpensive, non-intrusive, non-invasive, and non-vision-based system, for human detection and collision avoidance. One method investigated for improving safety concerns planning of safe path. This system recognizes human activities and locates operator's position in real time through an instrumented safety helmet. This safety helmet includes an IMU (Inertial Measurement Unit) and an indoor localization system such as RSSI (Received Signal Strength Indication) using industrial wireless equipment. A hybrid workspace including a flexible manufacturing system has been designed in order to practice experiments in an industrial-like environment.
Starting Page	37
Ending Page	42
File Size	918623
Page Count	6
File Format	PDF
e-ISBN	9781479949267
DOI	10.1109/ROSE.2014.6952980
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-16
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collision avoidance Safety Robot sensing systems Service robots Assembly IMU Activity recognition collision avoidance human-robot interaction Safety hybrid workspace RSSI
Content Type	Text
Resource Type	Article

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