DocumentCode :
76443
Title :
A Friendly Beast of Burden: A Human-Assistive Robot for Handling Large Payloads
Author :
Gosselin, Clement ; Laliberte, T. ; Mayer-St-Onge, Boris ; Foucault, Simon ; Lecours, Alexandre ; Duchaine, Vincent ; Paradis, Noemie ; Dalong Gao ; Menassa, Roland
Author_Institution :
Dept. de Genie Mec., Univ. Laval, Quebec City, QC, Canada
Volume :
20
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
139
Lastpage :
147
Abstract :
This article presents a novel robotic assistive device for the handling of large payloads. The design of the robot is based on the application of the following fundamental mechanical principles: inertia is minimized, a parallel closed-loop cable/belt routing system is used to kinematically decouple the transmission from fixed actuators and to the end-effector, and variable static balancing is used to minimize the actuation forces required for vertical motion. As a result, the device requires only low power, thereby improving safety, and can be operated manually, even in the event of a power failure (with minimum backup power for brake release). A novel force/torque sensor is also introduced along with a control algorithm based on variable admittance that provides a very intuitive interface for physical human-robot cooperation. Finally, a full-scale prototype integrating all of the above concepts is presented.
Keywords :
belts; brakes; cables (mechanical); end effectors; force sensors; human-robot interaction; industrial manipulators; torque; brake release; control algorithm; end-effector; fixed actuators; force sensor; full-scale prototype; human-assistive robot; inertia minimisation; intuitive interface; large payload handling; mechanical principles; parallel closed-loop cable/belt routing system; physical human-robot cooperation; power failure; robot design; robotic assistive device; torque sensor; variable admittance; variable static balancing; Design methodology; Load management; Payloads; Robot sensing systems; Torque control;
fLanguage :
English
Journal_Title :
Robotics & Automation Magazine, IEEE
Publisher :
ieee
ISSN :
1070-9932
Type :
jour
DOI :
10.1109/MRA.2013.2283651
Filename :
6651736
Link To Document :
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