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Human to humanoid motion conversion for dual-arm manipulation tasks

Published online by Cambridge University Press:  25 April 2018

Marija Tomić ,
Christine Chevallereau ,
Kosta Jovanović ,
Veljko Potkonjak  and
Aleksandar Rodić
Marija Tomić*
Affiliation:
School of Electrical Engineering, University of Belgrade, 11000, Belgrade, Serbia E-mails: [email protected], [email protected] LS2N, CNRS, Ecole Centrale de Nantes, 44321, Nantes, France E-mail: [email protected]
Christine Chevallereau
Affiliation:
LS2N, CNRS, Ecole Centrale de Nantes, 44321, Nantes, France E-mail: [email protected]
Kosta Jovanović
Affiliation:
School of Electrical Engineering, University of Belgrade, 11000, Belgrade, Serbia E-mails: [email protected], [email protected]
Veljko Potkonjak
Affiliation:
School of Electrical Engineering, University of Belgrade, 11000, Belgrade, Serbia E-mails: [email protected], [email protected]
Aleksandar Rodić
Affiliation:
Robotics Laboratory, IMP, 11000, Belgrade, Serbia E-mail: [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

A conversion process for the imitation of human dual-arm motion by a humanoid robot is presented. The conversion process consists of an imitation algorithm and an algorithm for generating human-like motion of the humanoid. The desired motions in Cartesian and joint spaces, obtained from the imitation algorithm, are used to generate the human-like motion of the humanoid. The proposed conversion process improves existing techniques and is developed with the aim to enable imitating of human motion with a humanoid robot, to perform a task with and/or without contact between hands and equipment. A comparative analysis shows that our algorithm, which takes into account the situation of marker frames and the position of joint frames, ensures more precise imitation than previously proposed methods. The results of our conversion algorithm are tested on the robot ROMEO through a complex “open/close drawer” task.

Keywords

Motion capture systemDual arm manipulationImitation algorithmsHumanoid robotMotion planning
Type
Articles
Information
Robotica , Volume 36 , Issue 8 , August 2018 , pp. 1167 - 1187
Copyright
Copyright © Cambridge University Press 2018 

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