Nothing Special   »   [go: up one dir, main page]

Skip to main content

Robotics and Prosthetics at Cleveland State University: Modern Information, Communication, and Modeling Technologies

  • Conference paper
  • First Online:
Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2016)

Abstract

This chapter concentrates on the correlation between research-based education, government priorities and research funding. Special attention is paid to an analysis of the role of modern information and communication technology (ICT) in the education of engineering students. Successful cases with specific description of computer modeling methods for the implementation of prosthesis and robotics research projects are presented based on experiences in the Embedded Control Systems Research Laboratory of Cleveland State University.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Azimi, V., Simon, D., Richter, H., Fakoorian, S.A.: Robust composite adaptive transfemoral prosthesis control with non-scalar boundary layer trajectories. In: Proceedings of the American Control Conference (ACC), Boston, MA, USA (2016)

    Google Scholar 

  2. Azimi, V., Simon, D., Richter, H.: Stable robust adaptive impedance control of a prosthetic leg. In: Dynamic Systems and Control Conference, Columbus, Ohio, USA, October 2015

    Google Scholar 

  3. Bredeweg, B., Forbus, K.D.: Qualitative modeling in education. AI Mag. 24(4), 35–46 (2003). American Association for Artificial Intelligence

    Google Scholar 

  4. Chou, C., Tsai, C.-C.: Developing web-based curricula: issues and challenges. J. Curriculum Stud. 34(6), 623–636 (2002)

    Article  Google Scholar 

  5. Clements, D.H.: Curriculum research: toward a framework for “Research-Based Curricula”. J. Res. Math. Educ. 38(1), 35–70 (2007)

    MathSciNet  Google Scholar 

  6. Conditt, M.A., Noble, P.C., Thompson, M.T., Ismaily, S.K., Moy, G.J., Mathis, K.B.: A computerized bioskills system for surgical skills training in total knee replacement. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 221(1), 61–69 (2007)

    Article  Google Scholar 

  7. Ebeigbe, D., Simon, D., Richter, H.: Hybrid function approximation based control with application to prosthetic legs. In: IEEE International Systems Conference, Orlando, FL, USA, April 2016

    Google Scholar 

  8. Gáti, J., Kártyás, G.: Computer system support for higher education programs in engineering. In: Proceedings of 4th International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 61–65 (2011)

    Google Scholar 

  9. Gilbert, J.K.: Models and modelling: routes to more authentic science education. Int. J. Sci. Math. Educ. 2(2), 115–130 (2004)

    Article  MathSciNet  Google Scholar 

  10. Gonçalves, J., Lima, J., Costa, P., Moreira, A.P.: Modeling and simulation of the EMG30 geared motor with encoder resorting to SimTwo: the official Robot@Factory simulator. In: Azevedo, A. (ed.) Advances in Sustainable and Competitive Manufacturing Systems, pp. 307–314. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  11. Khademi, G., Mohammadi, H., Simon, D., Hardin, E.C.: Evolutionary optimization of user intent recognition for transfemoral amputees. In: IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, Georgia, USA, pp. 1–4 (2015)

    Google Scholar 

  12. Kondratenko, Y.P., Kondratenko, G.V.: Robotic system with myoelectric adapting for rehabilitation tasks. ACTA Bioeng. Biomech. 3, 1–6 (2001)

    Google Scholar 

  13. Kondratenko, Y., Kondratenko, V.: Soft computing algorithm for arithmetic multiplication of fuzzy sets based on universal analytic models. In: Ermolayev, V., Mayr, H., Nikitchenko, M., Spivakovsky, A., Zholtkevych, G. (eds.) Information and Communication Technologies in Education, Research, and Industrial Application. Communications in Computer and Information Science, vol. 469, pp. 49–77. Springer, Cham (2014)

    Google Scholar 

  14. Kondratenko, Y.P., Klymenko, L.P., Al Zu’bi, E.Y.M.: Structural optimization of fuzzy systems’ rules base and aggregation models. Kybernetes 42(5), 831–843 (2013)

    Article  Google Scholar 

  15. Kondratenko, Y., Khademi, G., Azimi, V., Ebeigbe, D., Abdelhady, M., Fakoorian, S.A., Barto, T., Roshanineshat, A.Y., Atamanyuk, I., Simon D.: Information, communication, and modeling technologies in prosthetic leg and robotics research at Cleveland State University. In: Ermolayev, V., et al. (eds.) Proceedings of 12th International Conference on Information and Communication Technologies in Education, Research, and Industrial Application, 21–24 June 2016, Kyiv, Ukraine, ICTERI 2016, vol. 1614, pp. 168–183. CEUR-WS (2016)

    Google Scholar 

  16. Kondratenko, Y., Simon, D., Atamanyuk, I.: University curricula modification based on advancements in information and communication technologies. In: Ermolayev, V., et al. (eds.) Proceedings of 12th International Conference on Information and Communication Technologies in Education, Research, and Industrial Application, 21–24 June 2016, Kyiv, Ukraine, ICTERI 2016, vol. 1614, pp. 184–199. CEUR-WS (2016)

    Google Scholar 

  17. Louca, L.T., Zacharia, Z.C.: The use of computer-based programming environments as computer modelling tools in early science education: the cases of textual and graphical program languages. Int. J. Sci. Educ. 30(3), 287–323 (2008)

    Article  Google Scholar 

  18. Ma, H., Simon, D.: Biogeography-based optimization with blended migration for constrained optimization problems. In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA, pp. 417–418 (2010)

    Google Scholar 

  19. McKee, N.H., Agur, A.M., Tsang, W., Singh, K.S.: Possible uses of computer modeling of the functioning human hand. Clin. Plast. Surg. 32(4), 635–641 (2005)

    Article  Google Scholar 

  20. Mo, H., Xu, Z.: Research of biogeography-based multi-objective evolutionary algorithm. In: Khosrow-Pour, M. (ed.) Interdisciplinary Advances in Information Technology Research, pp. 125–135 (2013)

    Google Scholar 

  21. Mohammadi, H., Richter, H.: Robust tracking/impedance control: application to prosthetics. In: American Control Conference, Chicago, Illinois, July 2015 (2015)

    Google Scholar 

  22. Musa, A., Al-Dmour, A., Fraij, F., Gonzalez, V., Al-Hashemi, R.: Developing a virtual laboratory for a communication and computer networking course. Int. J. Continuing Eng. Educ. Life Long Learn. 20(3–5), 390–406 (2010)

    Article  Google Scholar 

  23. Nehrir, M.H., Fatehi, F., Gerez, V.: Computer modeling for enhancing instruction of electric machinery. IEEE Trans. Educ. 38(2), 166–170 (1995)

    Article  Google Scholar 

  24. Nemanjic, B., Svetozar, N.: Computer Simulations: Technology, Industrial Applications and Effects on Learning. Nova Science Publishers Inc., New York (2012)

    Google Scholar 

  25. Neptune, R.R.: Computer modeling and simulation of human movement. Sci. Principles Sports Rehabil. 11(2), 417–434 (2000)

    Google Scholar 

  26. Panselinas, G.E., Komis, V.: Using educational software to support collective thinking and test hypotheses in the computer science curriculum. Educ. Inform. Technol. 16(2), 159–182 (2011)

    Article  Google Scholar 

  27. Patil, L.S., Patil, K.D., Thosar, A.G.: The role of computer modeling and simulation in power electronics education. In: Proceedings of the 2nd International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 416–419 (2009)

    Google Scholar 

  28. Piegat, A.: Fuzzy Modeling and Control. Springer, Heidelberg (2001). doi:10.1007/978-3-7908-1824-6

    Book  MATH  Google Scholar 

  29. Richter, H., Simon, D., Smith, W., Samorezov, S.: Dynamic modeling, parameter estimation and control of a leg prosthesis test robot. Appl. Math. Model. 39, 559–573 (2015)

    Article  MathSciNet  Google Scholar 

  30. Richter, H., Simon, D.: Robust tracking control of the prosthesis test robot. J. Dyn. Syst. Measur. Control 136(3), Paper No. DS-13–1052 (2014)

    Google Scholar 

  31. Runkler, T.: Selection of appropriate defuzzification methods using application specific properties. IEEE Trans. Fuzzy Syst. 5(1), 72–79 (1997)

    Article  Google Scholar 

  32. Sayed, M., Saad, M., Emara, H., El-Zahab, E.A.: A novel method for PID tuning using a modified biogeography-based optimization algorithm. In: Proceedings of the 24th Chinese Control and Decision Conference (CCDC), pp. 1642–1647 (2012)

    Google Scholar 

  33. Schonning, A.: Biomechanical applications of computers in engineering education. In: ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Las Vegas, Nevada, USA, pp. 389–393. American Society of Mechanical Engineers (2007)

    Google Scholar 

  34. Schwarz, C.V., Meyer, J., Sharma, A.: Technology, pedagogy, and epistemology: Opportunities and challenges of using computer modeling and simulation tools in elementary science methods. J. Sci. Teacher Educ. 18(2), 243–269 (2007)

    Article  Google Scholar 

  35. Shaalan, H.: Using software to enhance power engineering education in a technology program. IEEE Power Eng. Rev. 21(6), 62–63 (2001)

    Google Scholar 

  36. Shih, N.-J.: RP-aided computer modeling for architectural education. Comput. Graph. 30(1), 137–144 (2006)

    Article  Google Scholar 

  37. Simon, D.: Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence. Wiley, Hoboken (2013)

    MATH  Google Scholar 

  38. Simon, D.: Optimal State Estimation: Kalman, H-infinity, and Nonlinear Approaches. Wiley, Hoboken (2006)

    Book  Google Scholar 

  39. Slotine, J.-J.E., Coetsee, J.A.: Adaptive sliding controller synthesis for non-linear systems. Int. J. Control 43(6), 1631–1651 (1986)

    Article  MATH  Google Scholar 

  40. Teodoro, V.D., Neves, R.G.: Mathematical modelling in science and mathematics education. Comput. Phys. Commun. 182(1), 8–10 (2011)

    Article  Google Scholar 

  41. Van Amerongen, J., Breedveld, P.: Modelling of physical systems for the design and control of mechatronic systems. Ann. Rev. Control 27(1), 87–117 (2003)

    Article  Google Scholar 

  42. Yang, W.: Applied Numerical Methods Using MATLAB. Wiley-Interscience, Hoboken (2005)

    Book  MATH  Google Scholar 

  43. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  Google Scholar 

  44. Zhang, B.H., Liu, X.F., Krajcik, J.S.: Expert models and modeling processes associated with a computer-modeling tool. Sci. Educ. 90(4), 579–604 (2006)

    Article  Google Scholar 

  45. Zhang, Q.: GUI based computer modeling and design platform to promote interactive learning in fiber optic communications. In: Proceedings of the 37th Annual Frontiers in Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports, FIE 2007, pp. S3H-14–S3H-19 (2007)

    Google Scholar 

Download references

Acknowledgements

The authors thank the Fulbright Program (USA) for supporting Prof. Y.P. Kondratenko with a Fulbright 2015-2016 scholarship and for making it possible for this team to conduct research in together in the USA. This research was partially supported by US NSF Grant 1344954.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuriy Kondratenko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kondratenko, Y. et al. (2017). Robotics and Prosthetics at Cleveland State University: Modern Information, Communication, and Modeling Technologies. In: Ginige, A., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2016. Communications in Computer and Information Science, vol 783. Springer, Cham. https://doi.org/10.1007/978-3-319-69965-3_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69965-3_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69964-6

  • Online ISBN: 978-3-319-69965-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics