DocumentCode :
173303
Title :
Cognitive mechanism in synchronized motion: An internal predictive model for manual tracking control (special session)
Author :
Khoramshahi, Mahdi ; Shukla, A. ; Billard, Aude
Author_Institution :
Learning Algorithms & Syst. Lab., EPFL, Lausanne, Switzerland
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
765
Lastpage :
771
Abstract :
Many daily tasks involve spatio-temporal coordination between two agents. Study of such coordinated actions in human-human and human-robot interaction has received increased attention of late. In this work, we use the mirror paradigm to study coupling of hand motion in a leader-follower game. The main aim of this study is to model the motion of the follower, given a particular motion of the leader. We propose a mathematical model consistent with the internal model hypothesis and the delays in the sensorimotor system. A qualitative comparison of data collected in four human dyads shows that it is possible to successfully model the motion of the follower.
Keywords :
human-robot interaction; motion control; multi-robot systems; predictive control; cognitive mechanism; follower motion; human-human interaction; human-robot interaction; internal model hypothesis; internal predictive model; leader motion; leader-follower game; manual tracking control; sensorimotor system; spatio-temporal agent coordination; synchronized motion; Adaptation models; Delays; Games; Lead; Mathematical model; Predictive models; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974003
Filename :
6974003
Link To Document :
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