The Command of a Virtual Industrial Robot Using a Dedicated Haptic Interface (original) (raw)

Abstract

In this paper is presented a study regarding the possibilities of commandinga virtual robot using a haptic interface. In order to demonstrate the functionality of this concept, a dedicated device with 1 DOF was developed. This device consists of twin motor-gearbox able to acquire and transmit the angular data of the shaft and return a haptic feedback corresponding to the robot movement. The proposed haptic device makes it possible to command one joint of an industrial robot and can be used as an essential component for the development of an exoskeleton for human arm and is able to generate a haptic interaction for all the joints. The exoskeleton solution will allow a structural similarity between the haptic device and an articulated robot arm. The test results with haptic feedback scenarios show that the proposed system can help inexperienced users to handle robot operation and programming tasks in an intuitive way.

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References (16)

  1. A.F. Abate, M. Guida, P. Leoncini, M. Nappi, and S. Ricciardi, A haptic-based approach to virtual training for aerospace industry, Journal of Visual Languages & Computing, 20,(5), (2009) pp. 318-325.
  2. K. Anam, and A.A. Al-Jumaily, Active Exoskeleton Control Systems: State of the Art, Procedia Engineering, , 41, (2012), pp. 988-994.
  3. V. Bartenbach, C. Sander, M. Poschl, K. Wilging, T. Nelius, F. Doll, W. Burger, C. Stockinger, A. Focke, and T. Stein, The BioMotionBot: a robotic device for applications in human motor learning and rehabilitation, J Neurosci Methods, 213, (2), (2013), pp. 282-297.
  4. T. Butnaru, Interfaces used to simulate articulated mechanical systems with force feedback in virtual reality, PhD Thesis, Transilvania University of Brasov, (2007).
  5. P. Chotiprayanakul, D.K. Liu, and G. Dissanayake, Human-robot-environment interaction interface for robotic grit-blasting of complex steel bridges, Automation in Construction, 27, (2012), pp. 11-23.
  6. M.S. Erden, and B. Marić, Assisting manual welding with robot, Robotics and Computer- Integrated Manufacturing, 27, (4), (2011), pp. 818-828.
  7. S. Ganguly, A. Garg, A. Pasricha, and S.K. Dwivedy, Control of pneumatic artificial muscle system through experimental modelling, Mechatronics, 22, (8), (2012), pp. 1135-1147.
  8. C. Garre, and M.A. Otaduy, Haptic rendering of objects with rigid and deformable parts, Computers & Graphics, 34, (6), (2010), pp. 689-697.
  9. T. Haidegger, and Z. Benyo, Surgical robotic support for long duration space missions, Acta Astronautica, 63, (7-10), (2008), pp. 996-1005.
  10. J. Krüger, T.K. Lien, and A. Verl, Cooperation of human and machines in assembly lines, CIRP Annals -Manufacturing Technology, 58, (2), (2009), pp. 628-646.
  11. D. Pisla, A. Szilaghyi, C. Vaida, N. Plitea, Kinematics and workspace modeling of a new hybrid robot used in minimally invasive surgery, Robotics and Computer-Integrated Manufacturing, Vol. 29, Issue 2, (2013), pp. 463-474.
  12. S. Ricciardi, M. Nappi, L. Paolino, M. Sebillo, G. Vitiello, G. Gigante, D. Pascarella, L. Travascio, and A. Vozella, Dependability issues in visual-haptic interfaces, Journal of Visual Languages & Computing, 21, (1), (2010), pp. 33-40.
  13. S.-D. Stan, R. Balan, V. Maties, Modelling, design and control of 3DOF medical parallel robot, Journal Mechanika, No. 6(74), (2008), pag. 68-71.
  14. P. van der Smagt, M. Grebenstein, H. Urbanek, N. Fligge, M. Strohmayr, G. Stillfried, J. Parrish, and A. Gustus, Robotics of human movements, Journal of physiology, Paris, 103, (3- 5), (2009), pp. 119-132.
  15. C. Ying, Z. Jia-fan, Y. Can-jun, and N. Bin, Design and hybrid control of the pneumatic force- feedback systems for Arm-Exoskeleton by using on/off valve, Mechatronics, 17, (6), (2007), pp. 325-335.
  16. 548 Modern Technologies in Industrial Engineering