Teaching Industrial Robot Manipulators by Easy to Use Interface Systems

Genci Capi; Delowar Hossain; Shi Ichiro Kaneko; Koco Bode

doi:10.4028/www.scientific.net/AMM.798.3

Paper Titles

Preface and Committees

Teaching Industrial Robot Manipulators by Easy to Use Interface Systems
p.3

A New Design Concept for Wind Turbine Airfoil
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Evaluation and Improvement of Performance Parameters for a Mechanical System Used in Minirobotics
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Effect of Link Tolerance and Joint Clearance on End-Effector Positioning of the 3-PSP Manipulator Using Taguchi Method
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Flanged Connections of Steel Tubular Sections under High Bending Stresses: A Comparison between Two Thickness Design Methods
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Design of Passive Weight Compensation for a Robotic Manipulator
p.30

A FEM Frontal Impact Study of Square-Section Tubes with Different Structural Solutions for Vehicle Safety
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Experimental Determination of Tyre Lateral Force: Application to Tyre Cornering Stiffness
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 798Teaching Industrial Robot Manipulators by Easy to...

Teaching Industrial Robot Manipulators by Easy to Use Interface Systems

Abstract:

The need for simple and safe teaching methods for robot manipulators need to be considered because: 1) Small size robots presence in everyday life environments is increasing requiring non-experts operators to teach the robot; 2) In small applications, the operator has to teach several different motions in a short time. In this paper, we evaluate the performance of three teaching systems for robot manipulators which utilize the following devices 1) i-phone; 2) haptic and 3) kinect. In difference from previous force sensor based teaching, proposed systems are safe because the operator keeps the distance with the robot. The performance is compared in terms of time to complete the task and accuracy. The results of 10 non-experienced subjects show the advantages of one method over the others.

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Periodical:

Applied Mechanics and Materials (Volume 798)

Pages:

3-7

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.798.3

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Online since:

October 2015

Authors:

Genci Capi*, Delowar Hossain, Shi Ichiro Kaneko, Koco Bode

Keywords:

Industrial Robot, Intuitive Teaching Method, Performance Evolution, Robot Manipulators

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References

[1] John-David Yoder, Jeffrey West, Eric T. Baumgartner, Mathias Perrollaz, Michael J. Seelinger, Matthew L. Robinson: Experiments Comparing Precision of Stereo-Vision Approaches for Control of an Industrial Manipulator. ISER 2012: 245-256.

DOI: 10.1007/978-3-319-00065-7_18

Google Scholar

[2] J. Miura and K. Ikeuchi: Generating Visual Sensing Strategies in Assembly Tasks, Proceedings of the 1995 IEEE International Conference on Robotics and Automation, pp.1912-1918, (1995).

DOI: 10.1109/robot.1995.525544

Google Scholar

[3] L. Rozo, P. Jiménez and C. Torras. Sharpening haptic inputs for teaching a manipulation skill to a robot, 1st IEEE Int. Conference on Applied Bionics and Biomechanics, 2010, Venice, pp.370-377.

Google Scholar

[4] Flacco, F., De Luca, A., Khatib, O.: Motion control of redundant robots under joint constraints: Saturation in the null space. Proc. IEEE Int. Conf. on Robotics and Automation, p.285–292 (2012).

DOI: 10.1109/icra.2012.6225376

Google Scholar

[5] Myoung Hwan Choi and Woo Won Lee Quantitative Evaluation of an Intuitive Teaching Method for Industrial Robot Using a Force / Moment Direction Sensor, International Journal of Control, Automation, and Systems Vol. 1, No. 3, Sept. (2003).

DOI: 10.1109/robot.2001.933244

Google Scholar

[6] Dettori, A. Avizzano, C.A., Marcheschi, S., Angerilli, M., Bergamasco, M. Loscos, C., & Guerraz, A. Art Touch with CREATE haptic interface, The 11th Int. Conf. on Advanced Robotics, (2003).

Google Scholar