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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*
Affiliation:
School of Electrical Engineering, University of Belgrade, 11000, Belgrade, Serbia E-mails: kostaj@etf.rs, potkonjak@yahoo.com LS2N, CNRS, Ecole Centrale de Nantes, 44321, Nantes, France E-mail: Christine.Chevallereau@ls2n.fr
Christine Chevallereau
Affiliation:
LS2N, CNRS, Ecole Centrale de Nantes, 44321, Nantes, France E-mail: Christine.Chevallereau@ls2n.fr
Kosta Jovanović
Affiliation:
School of Electrical Engineering, University of Belgrade, 11000, Belgrade, Serbia E-mails: kostaj@etf.rs, potkonjak@yahoo.com
Veljko Potkonjak
Affiliation:
School of Electrical Engineering, University of Belgrade, 11000, Belgrade, Serbia E-mails: kostaj@etf.rs, potkonjak@yahoo.com
Aleksandar Rodić
Affiliation:
Robotics Laboratory, IMP, 11000, Belgrade, Serbia E-mail: aleksandar.rodic@pupin.rs
*
*Corresponding author. E-mail: marija.tomic@pupin.rs

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.

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Type
Articles
Copyright
Copyright © Cambridge University Press 2018 

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