DOI QR코드

DOI QR Code

Intuitive Programming of Dual-Arm Robot Tasks using Kinesthetic Teaching Method

직접교시에 의한 직관적인 양팔로봇 작업 생성

  • Kim, Peter Ki (Department of transdisciplinary studies, Seoul National University) ;
  • Park, Hyeonjun (Department of transdisciplinary studies, Seoul National University) ;
  • Bae, Ji-Hun (Korea Institute of Industrial Technology) ;
  • Park, Jae-Han (Korea Institute of Industrial Technology) ;
  • Lee, Dong-Hyuk (Korea Institute of Industrial Technology) ;
  • Park, Jaeheung (Department of transdisciplinary studies, Seoul National University) ;
  • Kyung, Jin-Ho (Korea Institute of Machinery & Materials) ;
  • Baeg, Moon-Hong (Korea Institute of Industrial Technology)
  • Received : 2016.04.23
  • Accepted : 2016.06.16
  • Published : 2016.08.01

Abstract

While anthropomorphic robots are gaining interest, dual-arm robots are widely used in the industrial environment. Many methods exist in order to implement bimanual tasks by dual-arm robot. However, kinesthetic teaching is used in this paper. This paper suggests three different kinesthetic teaching methods that can implement most of the human task by the robot. The three kinesthetic teaching methods are joint level, task level, and contact level teaching. The task introduced in this paper is box packing, which is a popular and complex task in industrial environment. The task is programmed into the dual-arm robot by utilizing the suggested kinesthetic teaching method, and this paper claims that most tasks can be implemented by using the suggesting kinesthetic teaching methods.

Keywords

References

  1. R. Bloss, "Robotics innovations at the 2009 assembly technology," Industrial Robot: An International Journal, vol. 37, no. 5, pp. 427-430, 2010. https://doi.org/10.1108/01439911011063245
  2. I. Bonev, Who is Gomtec, the Collaborative Robotics Company Acquired by ABB?, http://spectrum.ieee.org/automaton/robotics/industrial-robots/who-is-gomtec-the-collaborative-roboticscompany-acquired-by-abb
  3. E. Guizzo, Rethink Robotics Open Up Baxter Robot for Researchers, http://spectrum.ieee.org/automaton/robotics/humanoids/rethink-roboticsbaxter-research-robot.
  4. P. Tsarouchi, S. Makris, G. Michalos, M. Stefos, K. Fourtakas, K. Kaltsoukalas, D. Kontovrakis, and C. Chryssolouris, "Robotized assembly process using dual arm robot," CIRP Conference on Assembly Technologies and Systems, vol. 23, pp. 47-52, 2014.
  5. D. Kruse, J. Wen, and R. Radke, "A sensor-based dual-arm telerobotic system," IEEE Transactions on Automation Science and Engineering, vol. 12, no. 1, pp. 4-18, 2015. https://doi.org/10.1109/TASE.2014.2333754
  6. F. Knutar, "Automatic generation of assembly schedules for a dual-arm robot using constraint programming," Master thesis, Uppsala University, 2015.
  7. H. Fleischer, R. Drews, J. Janson, B. Patlolla, X. Chu, M. Klos, and K. Thurow, "Application of a dual-arm robot in complex sample preparation and measurement process," Journal of Laboratory Automation, Ready for Publication, 2016.
  8. M. Hwang, "Optimized motion planning considering the lifetime for bimanual robotic assembly," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 21, no. 10, pp. 972-976, 2015. https://doi.org/10.5302/J.ICROS.2015.15.0085
  9. P. Kim, H. Park, J. Bae, J. Park, D. Lee, J. Park, and M. Baeg, "Dual-arm robot box taping with kinesthetic teaching," Proc. of ICROS Annual Conference 2016, Seoul, Korea, Mar. 2016.
  10. A. Albu-Schaffer, O. Eiberger, M. Grebenstein, S. Haddadin, C. Ott, T. Wimbock, S. Wolf, and G. Hirzinger, "Soft robotics," 2009," IEEE Robotics & Automation Magazine, vol. 15, no. 3, pp. 20-30, 2008
  11. H. Park, P. Kim, J. Bae, J. Park, M. Baeg, and J. Park, "Dual arm peg-in-hole assembly with a programmed compliant system," Ubiquitous Robots and Ambient Intelligence, pp. 431-433, 2014.
  12. J. Bae, S. Park, J. Park, M. Baeg, D. Kim, and S. Oh, "Robotic arm control inspired by human muscle tension effect under the gravity," International Conference of Robotics and Automation (IROS), pp. 1404-1411, 2011.
  13. S. Wang and S. Jiang, "Adaptive friction compensation of robot manipulator," Electronics and Signal Processing: Selected Papers from the 2011 International Conference on Electric and Electronics, pp.127-134, 2011.
  14. YouTube, Kinetiq teaching vs Teach Pendant Programming-ROBOTIQ, May 2016, https://www.youtube.com/watch?v=jzR5NZrZSu0.
  15. D. Kim, Y. Choi, R. Yan, L. Luo, J. Lee, and C. Han, "Efficient path planning of a high DOF multibody robotic system using adaptive RRT," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 21, no. 3, pp. 257-264, 2015. https://doi.org/10.5302/J.ICROS.2015.14.0095