Skip to main content

Algorithm Proposal to Control a Robotic Arm for Physically Disable People Using the LCD Touch Screen

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1071))

Abstract

This research focuses on people who have an issue to move their bodies or do not have enough force to move it, with the purpose to help in their control their moves to reach objects in their quotidian live with a fast process, in this sense, it has been conducted different interviews with persons that have coordination problem in their bodies or could have them. Therefore, in this work, it is proposed an algorithm to create a touch control for people that can use to manipulate a robotic arm with only one finger, faster with less effort. The Algorithm is based on two discrete functions that are characterized by depending on the problem that is going to work and get the most efficient result. These results were tested in Arduino and LCD-touch with a digital and discrete treatment to finding the shortest and effective way of acting.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
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

Learn about institutional subscriptions

References

  1. Grau, A., Indri, M., Bello, L.L., Sauter, T.: Industrial robotics in factory automation: from the early stage to the Internet of Things. In: 43rd Annual Conference of the IEEE Industrial Electronics Society, pp. 6159–6164. IEEE Press, Beijing (2017)

    Google Scholar 

  2. Yenorkar, R., Chaskar, U.M.: GUI based pick and place robotic arm for multipurpose industrial applications. In: Second International Conference on Intelligent Computing and Control Systems, pp. 200–203, Madurai (2018)

    Google Scholar 

  3. Burgner-Kahrs, J., Rucker, D.C., Choset, H.: Continuum robots for medical applications: a survey. IEEE Trans. Rob. 31(6), 1261–1280 (2015)

    Article  Google Scholar 

  4. Murali, A., Sen, S., Kehoe, B., Garg, A., Mcfarland, S., Patil, S., Boyd, W.D., Lim, S., Abbeel, P., Goldberg, K.: Learning by observation for surgical subtasks: multilateral cutting of 3D viscoelastic and 2D orthotropic tissue phantoms. In: IEEE International Conference on Robotics and Automation, pp. 1202–1209. IEEE Press, Seattle (2015)

    Google Scholar 

  5. Shademan, A., Decker, R.S., Opfermann, J.D., Leonard, S., Krieger, A., Kim, P.C.: Supervised autonomous robotic soft tissue surgery. Sci. Trans. Med. 8(337), 337ra64 (2016)

    Article  Google Scholar 

  6. Allen, S.: New prostheses and orthoses step up their game: motorized knees, robotic hands, and exosuits mark advances in rehabilitation technology. IEEE Pulse 7(3), 6–11 (2016)

    Article  Google Scholar 

  7. Niyetkaliyev, A.S., Hussain, S., Ghayesh, M.H., Alici, G.: Review on design and control aspects of robotic shoulder rehabilitation orthoses. IEEE Trans. Hum. Mach. Syst. 47(6), 1134–1145 (2017)

    Article  Google Scholar 

  8. Proietti, T., Crocher, V., Roby-Brami, A., Jarrassé, N.: Upper-limb robotic exoskeletons for neurorehabilitation: a review on control strategies. IEEE Rev. Biom. Eng. 9, 4–14 (2016)

    Article  Google Scholar 

  9. Rehmat, N., Zuo, J., Meng, W., Liu, Q., Xie, S.Q., Liang, H.: Upper limb rehabilitation using robotic exoskeleton systems: a systematic review. Int. J. Int. Rob. App. 2(3), 283–295 (2018)

    Article  Google Scholar 

  10. Young, A.J., Ferris, D.P.: State of the art and future directions for lower limb robotic exoskeletons. IEEE Trans. Neural Syst. Rehabil. Eng. 25(2), 171–182 (2017)

    Article  Google Scholar 

  11. Makin, T., de Vignemont, F., Faisal, A.: Neurocognitive barriers to the embodiment of technology. Nat. Biomed. Eng. 1(0014), 1–3 (2017)

    Google Scholar 

  12. Beckerle, P., Kõiva, R., Kirchner, E.A., Bekrater-Bodmann, R., Dosen, S., Christ, O., Abbink, D.A., Castellini, C., Lenggenhager, B.: Feel-good robotics: requirements on touch for embodiment in assistive robotics. Front. Neurorobot 12, 1–84 (2018)

    Article  Google Scholar 

  13. Jiang, H., Wachs, J.P., Duerstock, B.S.: Facilitated gesture recognition based interfaces for people with upper extremity physical impairments. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.) CIARP 2012. LNCS, vol. 7441, pp. 228–235, Springer, Heidelberg (2012)

    Google Scholar 

  14. Kruthika, K., Kumar, B.M.K., Lakshminarayanan, S.: Design and development of a robotic arm. In: IEEE International Conference on Circuits, Controls, Communications and Computing, pp. 1—4. IEEE Press, Bangalore (2016)

    Google Scholar 

  15. Chung, C.S., Wang, H., Cooper, R.A.: Functional assessment and performance evaluation for assistive robotic manipulators: literature review. J. Spinal Cord Med. 36(4), 273–289 (2013)

    Article  Google Scholar 

  16. Perez-Marcos, D., Chevalley, O., Schmidlin, T., Garipelli, G., Serino, A., Vuadens, P., Tadi, T., Blanke, O., Millán, J.D.: Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study. J. Neuroeng. Rehabil. 14(1), 119 (2017)

    Article  Google Scholar 

  17. Levin, M.F., Weiss, P.L., Keshner, E.A.: Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles. Phys. Ther. 95(3), 415–425 (2015)

    Article  Google Scholar 

  18. Kokkinara, E., Slater, M., López-Moliner, J.: The effects of visuomotor calibration to the perceived space and body through embodiment in immersive virtual reality. ACM Trans. Appl. Percept. 13(1), 1–22 (2015)

    Article  Google Scholar 

  19. Bovet, S., Debarba, H.G., Herbelin, B., Molla, E., Boulic, R.: The critical role of self-contact for embodiment in virtual reality. IEEE Trans. Vis. Comput. Graph. 24(4), 1428–1436 (2018)

    Article  Google Scholar 

  20. Atre, P., Bhagat, S., Pooniwala, N., Shah, P.: Efficient and feasible gesture controlled robotic arm. In: IEEE Second International Conference on Intelligent Computing and Control Systems, pp. 1–6. IEEE Press, Madurai (2018)

    Google Scholar 

  21. Badrinath, A.S., Vinay, P.B., Hegde, P.: Computer vision based semi-intuitive robotic arm. In: IEEE 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics, pp. 563–567. IEEE Press (2016

    Google Scholar 

  22. Kim, H., Tanaka, Y., Kawamura, A., Kawamura, S., Nishioka, Y.: Development of an inflatable robotic arm system controlled by a joystick. In: IEEE International Symposium on Robot and Human Interactive Communication, pp. 664–669. IEEE Press, Kobe (2015)

    Google Scholar 

  23. Crainic, M., Preitl, S.: Ergonomic operating mode for a robot arm using a game-pad with two joysticks. In: IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics, pp. 167–170. IEEE Press, Timisoara (2015)

    Google Scholar 

  24. Jiang, H., Wachs, J.P., Pendergast, M., Duerstock, B.S.: 3D joystick for robotic arm control by individuals with high level spinal cord injuries. In: IEEE 13th International Conference on Rehabilitation Robotics, pp. 1–5. IEEE Press, Seattle (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yadira Quiñonez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Quiñonez, Y., Zatarain, O., Lizarraga, C., Peraza, J., Mejía, J. (2020). Algorithm Proposal to Control a Robotic Arm for Physically Disable People Using the LCD Touch Screen. In: Mejia, J., Muñoz, M., Rocha, Á., A. Calvo-Manzano, J. (eds) Trends and Applications in Software Engineering. CIMPS 2019. Advances in Intelligent Systems and Computing, vol 1071. Springer, Cham. https://doi.org/10.1007/978-3-030-33547-2_15

Download citation

Publish with us

Policies and ethics