DocumentCode :
75889
Title :
Achieving Humanlike Motion: Resolving Redundancy for Anthropomorphic Industrial Manipulators
Author :
Zanchettin, Andrea Maria ; Bascetta, Luca ; Rocco, Paolo
Author_Institution :
Politec. di Milano, Milan, Italy
Volume :
20
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
131
Lastpage :
138
Abstract :
Research interest in human-robot interaction (HRI) has been increasing in recent decades and has now reached an appealing degree of maturity, which encourages first steps toward a technology transfer from research centers to robot manufacturers. Making robots able to cooperate with humans in a safe and intuitive manner is no longer a futuristic vision but a concrete opportunity that is just around the corner. On the other hand, measuring the quality of this interaction is a novel field in robotics research and will be extremely useful for future assessments of all efforts in the direction of more effective HRI. First results exist, ranging from a simple approach, like the so-called "uncanny valley" proposed in [1], to a more scientific interpretation supported by physiological measurements [2].
Keywords :
dexterous manipulators; human-robot interaction; humanoid robots; industrial manipulators; redundant manipulators; technology transfer; HRI; anthropomorphic industrial manipulator redundancy; human-robot interaction; humanlike motion; physiological measurements; robot manufacturers; robotics research; technology transfer; uncanny valley; Kinematics; Motion control; Redundancy; Robot kinematics; Service robots; Underwater vehicles;
fLanguage :
English
Journal_Title :
Robotics & Automation Magazine, IEEE
Publisher :
ieee
ISSN :
1070-9932
Type :
jour
DOI :
10.1109/MRA.2013.2283650
Filename :
6651686
Link To Document :
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