Title :
Safer hybrid workspace using human-robot interaction while sharing production activities
Author :
Meziane, Ramy ; Ping Li ; Otis, Martin J.-D ; Ezzaidi, Hassan ; Cardou, Philippe
Author_Institution :
REPARTI Center, Univ. of Quebec at Chicoutimi, Chicoutimi, QC, Canada
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.
Keywords :
collision avoidance; human-robot interaction; industrial robots; occupational safety; IMU; RSSI; collision avoidance; flexible manufacturing system; human activities; human detection; human-robot interaction; indoor localization system; industrial manipulator; industrial robot; industrial wireless equipment; industrial-like environment; inertial measurement unit; instrumented safety helmet; nonvision-based system; production activities; received signal strength indication; safer hybrid workspace; safety concerns planning; Assembly; Collision avoidance; Robot sensing systems; Safety; Service robots; Activity recognition; IMU; RSSI; Safety hybrid workspace; collision avoidance; human-robot interaction;
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2014 IEEE International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4799-4927-4
DOI :
10.1109/ROSE.2014.6952980