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Optimal synthesis of a spherical parallel mechanism for medical application

Published online by Cambridge University Press:  09 July 2014

T. Essomba
Affiliation:
PRISME Laboratory, University of Orleans, 12, Rue de Blois, 45067 Orleans, France E-mails: [email protected], [email protected] PPRIME Institute, GMSC Department, RoBioSS, CNRS, University of Poitiers, ENSMA, UPR 3346, France E-mails: [email protected]
M. A. Laribi
Affiliation:
PPRIME Institute, GMSC Department, RoBioSS, CNRS, University of Poitiers, ENSMA, UPR 3346, France E-mails: [email protected]
S. Zeghloul*
Affiliation:
PPRIME Institute, GMSC Department, RoBioSS, CNRS, University of Poitiers, ENSMA, UPR 3346, France E-mails: [email protected]
G. Poisson
Affiliation:
PRISME Laboratory, University of Orleans, 12, Rue de Blois, 45067 Orleans, France E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]

Summary

This paper introduces the design and the optimization of a probe holder robot for tele-echography applications. To define its kinematic architecture, an approach based on motion capture of an expert's gestures during ultrasound examinations was proposed. The medical gestures analyzed consisted of ultrasound probe movements and were used to characterize the kinematic specifications of the proposed manipulator. The selected architecture was a Spherical Parallel Mechanism (SPM) with 3 degrees of freedom (DoF) and its optimal synthesis was performed using real-coded Genetic Algorithms (GA). The optimization criteria and constraints were established thanks to the collaboration of medical experts and were successively formulated and solved using mono-objective and multi-objective functions.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

1.de Cunha, D., Gravez, P., Leroy, C., Maillard, E., Jouan, J., Varley, P., Jones, M., Halliwell, M., Hawkes, D., Wells, P. N. T. and Angelini, L., “The MIDSTEP System for Ultrasound Guided Remote Telesurgery,” Proceedings of 20th International Conference of the IEEE Engineering in Medicine and Biology Society, Hong Kong (Oct. 29-Nov. 1, 1998) pp. 12661269.Google Scholar
2.Salcudean, S. E., Zhu, W. H., Abolmaesumi, P., Bachmann, S. and Lawrence, P. D., “A robot system for medical ultrasound,” Proceedings of ISRR'99, Snowbird, USA (Oct. 9–12, 1999) pp. 152159.Google Scholar
3.Mitsuishi, M., Warisawa, S., Tsuda, T., Higuchi, T., Koizumi, N., Hashizume, H. and Fujiwara, K., “Remote Ultrasound Diagnostic System,” Proceedings of IEEE ICRA, vol. 2, South Korea (May 21–26, 2001) pp. 15671573.Google Scholar
4.Vilchis, A., Troccaz, J., Cinquin, P., Courrèges, F., Poisson, G. and Tondu, B., “Robotic Tele-ultrasound System (TER): Slave Robot Control,” Proceedings of IFAC Conference on Telematics Application in Automation and Robotics, Weingarten, Germany (Jul. 24–26 2001) pp 95100.Google Scholar
5.Nakadate, R., Matsunaga, Y., Solis, J., Takanishi, A., Minagawa, E., Sugawara, M. and Niki, K., “Development of a robot assisted carotid blood flow measurement system,” Mech. Mach. Theory 46 (8), 10661083 (2011).CrossRefGoogle Scholar
6.Gourdon, A., Poignet, P., Poisson, G., Parmantier, Y. and March, P.. “Master–Slave Robotic System for Ultrasound Scanning,” Proceedings Eur. Medical and Biological Engineering Conference, vol. 2, Vienna (Mar. 1999) pp. 11161117.Google Scholar
7.Vieyres, P., Poisson, G., Courrèges, F., Mérigeaux, O. and Arbeille, Ph., “The TERESA project: From space research to ground tele-echography,” Int. J. Ind. Robot., 30 (1), 7782 (2003).CrossRefGoogle ScholarPubMed
8.Delgorge, C., Courreges, F., Al Bassit, L., Novales, C., Rosenberger, C., Smith-Guerin, N., Bru, C., Gilabert, R., Vannoni, M., Poisson, G. and Vieyres, P., “A tele operated mobile ultrasound scanner using a light weight robot,” IEEE Trans. Innov. Technol. Biomed., 9 (1), 5058 (Mar. 2005).CrossRefGoogle ScholarPubMed
9.Bruyère, F., Ayoub, J. and Arbeille, P., “Use of a telerobotic arm to perform ultrasound guidance during renal biopsy in transplant recipients: a preliminary study,” J. Endourol. 20 (2), 231234 (Feb. 2011).CrossRefGoogle Scholar
10.Ito, K., Sugano, S. and Iwata, H., “Portable and Attachable Tele-echography Robot System: FASTele,” Conference Proceeding of IEEE Engineering in Medicine and Biology Society, Buenos Aires (Aug. 31–Sep. 4, 2010) pp. 487490.Google Scholar
11.Charron, G., Morette, N., Essomba, T., Vieyres, P., Canou, J., Fraisse, P., Zeghloul, S., Krupa, A., Arbeille, P. and the Prosit Consortium, “Robotic Platform for an Interactive Tele-echographic System: the PROSIT ANR-2008 Project,” Proceedings of the Hamlyn Symposium on Medical Robotics, London, UK (May 25, 2010) pp. 12.Google Scholar
12.Triantafyllidisa, G. A., Thomosa, N., Canerob, C., Vieyres, P. and Strintzis, M. G.. “A user interface for mobile robotized tele-echography,” Nucl. Instrum. Methods Phys. Res., A 569, 645648 (2006).CrossRefGoogle Scholar
13.Mebarki, R., Krupa, A. and Chaumette, F., “Image moments-based ultrasound visual servoing,” ICRA'08, Pasadena, CA (May 2008).Google Scholar
14.Fraisse, P., Dauchez, P. and Pierrot, F.. “Robust force control strategy based on virtual environment,” Adv. Robot. J., Robot. Soc. Jpn. 21 (3–4), 485498 (2007).CrossRefGoogle Scholar
15.Zeghloul, S. and Rambeaud, P., “A fast algorithm for distance calculation between convex objects using the optimization approach,” Robotica J. 14, 355363 (1996).CrossRefGoogle Scholar
16.Arbeille, P., Capri, A., Ayoub, J., Kieffer, V. and Poisson, G.. “Use of a robotic arm to tele-operated abdominal ultrasound,” Am. J. Roentgenol. 188, 317322 (2007).CrossRefGoogle Scholar
17.Essomba, T., Laribi, M. A., Gazeau, J. P., Zeghloul, S. and Poisson, G., “Contribution to the design of a robotized tele-echography system,” Front. Mech. Eng. 7 (2), 135149 (2012).CrossRefGoogle Scholar
18.Gosselin, C. and Hamel, J., “The Agile Eye: A High-Performance Three-Degree-of-Freedom Camera-Orienting Device,” Proceedings of IEEE International Conference on Robotics and Automation, San Diego, USA (May 8–13, 1944) pp. 781786.Google Scholar
19.Charker, A., Mlika, A., Laribi, M. A., Romdhane, L. and Zeghoul, S., “Synthesis of a spherical parallel manipulator for a dexterous medical task,” Front. Mech. Eng. 7 (2), 150162 (2012).CrossRefGoogle Scholar
20.Laribi, M. A., Essomba, T., Zeghloul, S. and Poisson, G., “Optimal Synthesis of a New Spherical Parallel Mechanism for Application to Tele-echography Chain,” Proceedings of the 2011 ASME IDETC/CIE, Washington DC, USA (Aug. 28–31, 2011) pp. 579587.Google Scholar
21.Yoshikawa, T., “Manipulability of robotic mechanisms,” Int. J. Robot. Res. 4 (2), 39 (1985).CrossRefGoogle Scholar
22.Angeles, J., Ranjbaran, F. and Patel, R. V., “On the Design of the Kinematic Structure of Seven-axes Redundant Manipulators for Maximum Conditioning,” Proceedings of the IEEE International Conference on Robotics and Automation, Nice, France (May 12–14, 1992) pp. 494499.Google Scholar
23.Gosselin, C. and Angeles, J., “A global performance index for the kinematic optimisation of robotic manipulators,” ASME J. Mech. Des. 113 (3), 220226 (1991).CrossRefGoogle Scholar
24.Chaker, A., Laribi, M.A., Zeghloul, S. and Romdhane, L., “Design and Optimization of Spherical Parallel Manipulator as a Haptic Medical Device,” Proceedings of the 37th IEEE Annual Conference on Industrial Electronics Society, Melbourne, Australia (Nov. 7–10, 2011), pp. 80–85.Google Scholar
25.Goldberg, D. E., Genetic Algorithms in Search, Optimization, and Machine Learning (Addison-Wesley Publishing, Massachusetts, 1994).Google Scholar
26.Laribi, M. A., Mlika, A., Romdhane, L. and Zeghloul, S., “A combined genetic algorithm-fuzzy logic method (GA-FL) in mechanisms synthesis,” Mech. Mach. Theory 39 (7), 717735 (2004).CrossRefGoogle Scholar
27.Gosselin, C. and Angeles, J., “The optimum kinematic design of a spherical three degree of freedom parallel manipulator,” Trans. ASME, J. Mech. Transm. Autom. Des. 111, 202207 (1989).CrossRefGoogle Scholar
28.Gosselin, C., St-Pierre, E. and Gagne, M., “On the development of the agile eye: mechanical design, control issues and experimentation,” IEEE Robot. Autom. Soc. Mag. 3 (4), 2937 (1996).CrossRefGoogle Scholar
29.Takeda, Y., Funabashi, H. and Sasaki, Y., “Development of a spherical in-parallel actuated mechanism with three degrees of freedom with large working space and high motion transmissibility,” JSME Int. J., C 39 (3), 541548 (1996).Google Scholar
30.Liu, X.-J., Jin, Z.-L. and Gao, F., “Optimum design of 3-dof spherical parallel manipulators with respect to the conditioning and stiffness indices,” Mech. Mach. Theory 35, 12571267 (2000).CrossRefGoogle Scholar