Title
Human-robot interaction in handing-over tasks
Abstract
In many future joint-action scenarios, humans and robots will have to interact physically in order to successfully cooperate. Ideally, seamless human-robot interaction should not require training for the human, but should be intuitively simple. Nonetheless, seamless interaction and cooperation involve some degree of learning and adaptation. Here, we report on a simple case of physical human-robot interaction, a hand-over task. Even such a basic task as manually handing over an object from one agent to another requires that both partners agree upon certain basic prerequisites and boundary conditions. While some of them are negotiated explicitly, e.g. by verbal communication, others are determined indirectly and adaptively in the course of the cooperation. In the present study, we compared human-human hand-over interaction with the same task done by a robot and a human. To evaluate the importance of biological motion, the robot human interaction was tested with two different velocity profiles: a conventional trapezoidal velocity profile in joint coordinates and a minimum-jerk profile of the end-effector. Our results show a significantly shorter reaction time for minimum jerk profiles, which decreased over the first three hand-overs. The results of our comparison provide the background for implementing effective joint-action strategies in humanoid robot systems.
Year
DOI
Venue
2008
10.1109/ROMAN.2008.4600651
Munich
Keywords
Field
DocType
end effectors,man-machine systems,end-effector,human-human hand-over interaction,human-robot interaction,minimum-jerk profile,trapezoidal velocity profile
Simulation,Computer science,Jerk,Biological motion,Human interaction,Nonverbal communication,Robot end effector,Robot,Human–robot interaction,Humanoid robot
Conference
ISBN
Citations 
PageRank 
978-1-4244-2213-5
50
3.43
References 
Authors
4
4
Name
Order
Citations
PageRank
Huber, M.1503.43
Markus Rickert221722.78
Alois Knoll Knoll31700271.32
Thomas Brandt414416.15