Development of a Dynamic Path for a Toxic Substances Mapping Mobile Robot in Industry Environment | SpringerLink
Skip to main content

Development of a Dynamic Path for a Toxic Substances Mapping Mobile Robot in Industry Environment

  • Conference paper
  • First Online:
ROBOT 2017: Third Iberian Robotics Conference (ROBOT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 694))

Included in the following conference series:

  • 2680 Accesses

Abstract

Some industries have critical areas (dangerous or hazardous) where the presence of a human must be reduced or avoided. In some cases, there are areas where humans should be replaced by robots. The present work uses a robot with differential drive to scan an environment with known and unknown obstacles, defined in 3D simulation. It is important that the robot be able to make the right decisions about its way without the need of an operator. A solution to this challenge will be presented in this paper. The control application and its communication module with a simulator or a real robot are proposed. The robot can perform the scan, passing through all the waypoints arranged in a grid. The results are presented, showcasing the robot’s capacity to perform a viable trajectory without human intervention.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /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
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 34319
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 42899
Price includes VAT (Japan)
  • 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. Mosterman, P.J., Zander, J.: Industry 4.0 as a cyber-physical system study. Softw. Syst. Model. 15(1), 17–29 (2016)

    Article  Google Scholar 

  2. Miller, C.E., Tucker, A.W., Zemlin, R.A.: Integer programming formulation of traveling salesman problems. J. ACM 7(4), 326–329 (1960). New York

    Google Scholar 

  3. Pereira, N., Ribeiro, F., Lopes, G., Whitney, D., Lino, J.: Autonomous golf ball picking robot design and development. Ind. Robot Int. J. 39(6), 541–550 (2012)

    Article  Google Scholar 

  4. Hirakawa, A. R., Saraiva, A. M., Cugnasca, C. E.: Autômatos Adaptativos Aplicados em Automaçao e Robtica(A4R). IEEE Lat. Am. Trans. 5(7), 539–543 (2007). São Paulo

    Google Scholar 

  5. Vaz, D.A.B.O.: Planejamento de movimento cinemático-dinâmico para robôs mveis com rodas deslizantes. Universidade de São Paulo (2011)

    Google Scholar 

  6. Yang, X., Zeng, Z., Xiao, J., Zheng, Z.: Trajectory planning for RoboCup MSL mobile robots based on Bézier curve and Voronoi diagram. In: IEEE International Conference on Information and Automation, pp. 2552–2557 (2015)

    Google Scholar 

  7. Kloetzer, M., Mahuela, C., Gonzalez, R.: Optimizing cell decomposition path planning for mobile robots using different metrics. In: 19th International Conference on System Theory, Control and Computing (ICSTCC), pp. 565–570 (2015)

    Google Scholar 

  8. Magid, E., Karen, D.,Rivlin, E., Yavneh,I.: Spline-based robot navigation. In: IEEE/RSJ International Conference on Intelligent Robots and System, pp. 2296–2301 (2006)

    Google Scholar 

  9. Hwang, J.H., Arkin, R.C., Kwon, D.S.: Mobile robots at your fingertip: Bezier curve on-line trajectory generation for supervisory control. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1444–1449 (2003)

    Google Scholar 

  10. Simba, K.R., Uchiyama, N., Sano, S.: Real-time trajectory generation for movile robots in a corridor-like space using Bezier curves. In: IEEE/SICE International Symposium Systrem Integration, pp. 37–41 (2013)

    Google Scholar 

  11. Costa, P., Gonçalvez, J., Lima, J.: SimTwo realistic simulator: a tool for the development and validation of robot software. Int. J. Theor. Appl. Math. Comput. Sci. 17–33 (2011)

    Google Scholar 

  12. Nascimento, T.P., Moreira, A.P., Costa, P., Costa, P, Conceição, A.G.S.: Modeling omnidirectiona mobile robots: an approach using SimTwo. In: 10th Portuguese Conference on Automatic Control, Funchal, pp. 117–223 (2012)

    Google Scholar 

  13. Lima, J., Gonçalves, J., Costa, P., Moreira, A.: Modeling and simulation of a laser scanner sensor: an industrial application case study. In: Azevedo, A. (ed.) Advances in Sustainable and Competitive Manufacturing Systems. Lecture Notes in Mechanical Engineering, pp. 697–705. Springer, Heidelberg (2013)

    Google Scholar 

  14. Lima, J., Gonçalves, J., Costa, P.: Modeling of a low cost laser scanner sensor. In: Moreira, A., Matos, A., Veiga, G. (eds.) CONTROLO2014 Proceedings of the 11th Portuguese Conference on Automatic Control, vol. 321, pp. 697–705. Springer, Cham (2015)

    Google Scholar 

  15. Gonçalves, J., Lima, J., Costa, P., Moreira, A.: 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)

    Google Scholar 

  16. Chapra, C.S., Canale, R.P.: Numerical Methods for Engineers, 6th edn. The McGraw-Hill Companies, New York (2010)

    Google Scholar 

Download references

Acknowledgment

Project “TEC4Growth - Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020” is financed by the North Portugal Regional Operational. Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF).

This work is also financed by the ERDF European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project POCI-01-0145-FEDER-006961, and by National Funds through the FCT Fundaçao para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) as part of project UID/EEA/50014/2013.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luis Piardi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Piardi, L., Lima, J., Costa, P., Brito, T. (2018). Development of a Dynamic Path for a Toxic Substances Mapping Mobile Robot in Industry Environment. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-70836-2_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70836-2_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70835-5

  • Online ISBN: 978-3-319-70836-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics