JRM Vol.21 No.1 pp. 135-145
doi: 10.20965/jrm.2009.p0135


Quantitative Evaluation of Automatic Parts Delivery in “Attentive Workbench” Supporting Workers in Cell Production

Masao Sugi*, Ippei Matsumura**, Yusuke Tamura*,
Makoto Nikaido*, Jun Ota*, Tamio Arai*, Kiyoshi Kotani*,
Kiyoshi Takamasu*, Hiromasa Suzuki*, Akio Yamamoto*,
Yoichi Sato*, Seiichi Shin***, and Fumihiko Kimura*

*The University of Tokyo

**TOTO Ltd.

***The University of Electro-Communications

January 30, 2008
November 12, 2008
February 20, 2009
cell production system, assembly support, attentive workbench (AWB)

The attentive workbench (AWB) is a new cell production system that supports human workers physically and informationally. Here we focus on physical assembly support through parts delivery, using automatically-moving parts trays. We quantitatively evaluated processing time in actual assembly experiments employing an implemented AWB system.

Cite this article as:
Masao Sugi, Ippei Matsumura, Yusuke Tamura,
Makoto Nikaido, Jun Ota, Tamio Arai, Kiyoshi Kotani,
Kiyoshi Takamasu, Hiromasa Suzuki, Akio Yamamoto,
Yoichi Sato, Seiichi Shin, and Fumihiko Kimura, “Quantitative Evaluation of Automatic Parts Delivery in “Attentive Workbench” Supporting Workers in Cell Production,” J. Robot. Mechatron., Vol.21, No.1, pp. 135-145, 2009.
Data files:
  1. [1] S. Seki, “One by One Production in the ‘Digital Yatai’ – Practical Use of 3D-CAD Data in the Fabrication –,” Journal of the Japan Society of Mechanical Engineering, Vol.106, No.1013, pp. 32-36, 2003 (in Japanese).
  2. [2] G. Vasilash, “Cell for Assembly,” Automotive Manufacturing & Production, June 1999.
  3. [3] R. M. Barnes, “Motion and Time Study: Design and Measurement of Work,” John Wiley & Sons, 7th edition, 1980.
  4. [4] C. Reinhart and C. Patron, “Integrating Augmented Reality in the Assembly Domain – Fundamentals, Benefits and Applications,” Annals of the CIRP, Vol.52/1/2003, pp. 5-8, 2003.
  5. [5] Y. Yamada, H. Konosu, T. Morizono, and Y. Umetani, “Proposal of Skill-Assist: A System of Assisting Human Workers by Reflecting Their Skills in Positioning Tasks,” Proc. of the IEEE Int. Conf. on Systems, Man and Cybernetics, pp. (IV)11-(IV)16, 1999.
  6. [6] R. D. Schraft, C. Meyer, C. Parlitz, and E. Helms, “PowerMate – A safe and Intuitive Robot Assistant for Handling and Assembly Task,” Proc. of the 2005 IEEE Int. Conf. on Robotics and Automation, pp. 4085-4090, 2005.
  7. [7] Y. Hayakawa, T. Ogata, and S. Sugano, “Flexible Assembly Work Cooperating System Based on Work State Identifications by a Self-Organizing Map,” IEEE/ASME Transactions on Mechatronics, Vol.9, No.3, pp. 520-528, 2004.
  8. [8] B. A. Sawyer, “Magnetic Positioning Device,” US patent 3,457,482, 1969.
  9. [9] M. Sugi, Y. Tamura, J. Ota, T. Arai, K. Takamasu, and H. Suzuki, “Implementation of Human Supporting Production System ‘Attentive Workbench’,” Proc. of the SICE-ICASE Int. Joint Conf. 2006, pp. 1270-1273, 2006.
  10. [10] M. Erdmann and T. Lozano-Pérez, “On Multiple Moving Objects,” Algorithmica, 2, pp. 477-521, 1987.
  11. [11] F. Iida, K. Kotani, M. Sugi, J. Ota, T. Arai, and K. Takamasu, “Assessment of Mental Workload (5th report) – Development of the Extraction method on working scenes –,” Proc. of the 2007 JSPE Semestrial Meeting, pp. 87-88, 2007 (in Japanese).
  12. [12] K. Kotani, I. Hidaka, Y. Yamamoto, and S. Ozono, “Analysis of Respiratory Sinus Arrhythmia with Respect to Respiratory Phase,” Method of Information in Medicine, Vol.39, pp. 153-156, 2000.
  13. [13] Y. Soo, M. Sugi, H. Yokoi, T. Arai, R. Du, and J. Ota, “Simultaneous Measurement of Force and Muscle Fatigue Using Frequency-Band Wavelet Analysis,” Proc. of the 30th Annual Int. IEEE EMBS Conf. (EMBC 2008), pp. 5045-5048, 2008.
  14. [14] Y. Nakanishi, Y. Sato, and H. Koike, “EnhancedDesk and EnhancedWall: Augmented Desk and Wall Interfaces with Real-Time Tracking of User's Motion,” Proc. of Ubicomp2002 Workshop on Collaborations with Interactive Walls and Tables, pp. 27-30, 2002.
  15. [15] K. Oka, Y. Sato, and H. Koike, “Real-Time Fingertip Tracking and Gesture Recognition,” IEEE Computer Graphics and Applications, Vol.22, No.6, pp. 64-71, 2002.
  16. [16] Y. Tamura, M. Sugi, J. Ota, and T. Arai, “Deskwork Support System Based on the Estimation of Human Intention,” Proc. of the 13th IEEE Int. Workshop on Robot and Human Interactive Communication (RO-MAN 2004), pp. 413-418, 2004.

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