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Планирование, моделирование и экспериментальное исследование манипуляционной операции

ISSN 0236-3941. Вестник МГТУ им. Н.Э. Баумана. Сер. Машиностроение. 2016. № 4

69

PLANNING, SIMULATION AND EXPERIMENTAL RESEARCH

INTO TYPICAL ROBOTIC MANIPULATOR OPERATION

A.G. Leskov

1

agleskov@rambler.ru

V.V. Illarionov

1

I.A. Kalevatykh

1,2

S.D. Moroshkin

1

K.V. Bazhinova

1,2

E.V. Seliverstova

1,2

1

Dmitrov Branch of Bauman Moscow State Technical University, Orevo, Moscow Region,

Russian Federation

2

Bauman Moscow State Technical University, Moscow, Russian Federation

Abstract

Keywords

This paper introduces an approach and experimental

results of planning, simulating and automatic performing

of typical robotic manipulations of an object with un-

known position, orientation and dimensions. The ap-

proach is based on combining automatic motion trajectory

planning algorithms using computer vision systems with

trajectory learning through demonstrating action sequenc-

es by human operator. The demonstration is held in virtual

environment with the determined task pattern. The meth-

od is implemented for automatic opening of a bag with a

magnetic snap. Experimental results with an industrial

robot confirm the suitability of the proposed method

Manipulator, automatic mode,

computer appliance, task pattern,

bag opening, ROS, MoveIt

REFERENCES

[1] Leskov A.G., Illarionov V.V., Kalevatykh I.A., Moroshkin S.D., Bazhinova K.V., Feoktisto-

va E.V. Hardware–software complex for solving the task of automatic capture of the object

with manipulators.

Jelektr. nauchno-tekh. izd. «Inzhenernyy zhurnal: nauka i innovacii»

[El.

Sc.-Tech. Publ. “Eng. J.: Science and Innovation”], 2015, iss. 1.

DOI:

10.18698/2308-6033-2015-1-1361 Available at:

http://engjournal.ru/eng/catalog/pribor/

robot/1361.html

[2] Manschitz S., Kober J., Gienger M., Peters J. Learning to unscrew a light bulb from demon-

strations.

Proc. 41st International Symposium on Robotics

, Germany, Munich, 2014, June 2–3,

pp. 11–17.

[3] Li Z., Xia Z., Hu Y., Zhang J. An improved framework for robotic door-opening task using

kinect and tactile information.

Proc. 11th World Congress on Intelligent Control and Automa-

tion

, Australia, Shenyang, 2014, June 29 — July 4, pp. 2219–2224.

[4] Chitta S., Sucan I., Cousins S. MoveIt! ROS Topics.

IEEE Robotics and Automation Maga-

zine

, 2012, vol. 19, no. 1, pp. 18–19.

[5] Sucan I. A., Moll M., Kavraki L. The open motion planning library (OMPL). Available at:

http://ompl.kavrakilab.org

[6] The freenect package. Available at:

https://hackage.haskell.org/package/freenect

(accessed

30.01.2016).