Skip to main content

Cooperative FSEIF SLAM of Omnidirectional Mobile Multirobots

  • Conference paper
  • First Online:
Fuzzy Techniques: Theory and Applications (IFSA/NAFIPS 2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1000))

Included in the following conference series:

  • 672 Accesses

Abstract

The paper presents a cooperative fuzzy sparse extended information filtering (FSEIF) method for simultaneous localization and mapping SLAM) of multiple three-wheeled omnidirectional mobile multirobots in a given indoor environment. After brief description of our previous fuzzy SEIF SLAM (FSEIF SLAM) algorithm for a single mobile robot, a cooperative Fuzzy SEIF SLAM approach is presented for a group of omnidirectional mobile multirobots, where the optimal path searching method is devised by incorporating with K-means and Dijkstra algorithm under the assumption of known map and correspondence conditions. The effectiveness and merits of the proposed cooperative FSEIF SLAM in a large-scale environment are well illustrated by carrying out comparative simulations for multiple mobile robots.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Dissanayake, G., Newman, P., Clark, S., et al.: A solution to the simultaneous localization and map building (SLAM) problem. IEEE Transact. Robot. Autom. 17(3), 229–241 (2001)

    Article  Google Scholar 

  2. Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. The MIT Press, Cambridge (2006)

    MATH  Google Scholar 

  3. Thrun, S., Liu, Y., Koller, D., Ng, A.Y., Ghahramani, Z., Durrant-Whyte, H.: Simultaneous localization and mapping with sparse extended information filters. Int. J. Robot. Res. 23(7), 693–716 (2004)

    Article  Google Scholar 

  4. Gauo, J.H., Zhao, C.X.: An improved algorithm with sparse extended information filters. Pattern Recogn. Artif. Intell. 22(2), 269 (2009)

    Google Scholar 

  5. Eustice, R., Walter, M., Leonard, J.: Sparse extended information filters insights into sparsification. In Proceedings of the IEEE/RSJ Interactional Conference on Intelligent Robots and Systems, Edmonton, Canada, pp. 3281–3288 (2005)

    Google Scholar 

  6. Lin, H.H., Tsai, C.C.: Ultrasonic localization and pose tracking of an autonomous mobile robot via fuzzy adaptive extended information filtering. IEEE Transact. Instrum. Meas. 57(9), 2024–2034 (2008)

    Article  MathSciNet  Google Scholar 

  7. Tai, F.C., Tsai, C.C.: Decentralized EIF-based global localization using dead-reckoning, KINECT and laser scanning for autonomous omnidirectional mobile robot. In: Proceedings of 2014 International Conference on Advanced robotics and intelligent systems, ARIS 2014, Taipei, Taiwan, pp. 85–90 (2014)

    Google Scholar 

  8. Begum, M., Mann, G.K.I., Gosine, R.G.: Integrated fuzzy logic and genetic algorithmic approach for simultaneous localization and mapping of mobile robots. Appl. Soft Comput. 8(1), 15–65 (2008)

    Article  Google Scholar 

  9. Lai, Y.-C., Tsai, C.C.: Fuzzy sparse EIF simultaneous localization and mapping of omnidirectional mobile robots. In: Proceedings of 2016 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2016. Taipei Nangang Exhibition Center, Taipei, Taiwan (2016)

    Google Scholar 

  10. Tsai, C.C., Lai, Y.C.: Fuzzy SEIF SLAM for omnidirectional mobile robots. In: Proceedings of 2018 International Conference on Fuzzy Theory with Its Applications, iFuzzy 2018. EXCO, Daegu, Republic of Korea (2018)

    Google Scholar 

Download references

Acknowledgment

The authors gratefully acknowledge financial support from the Ministry of Science and Technology (MOST), Taiwan, ROC, under contract MOST 107-2221-E-005 -073-MY2.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ching-Chih Tsai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tsai, CC., Lai, YC. (2019). Cooperative FSEIF SLAM of Omnidirectional Mobile Multirobots. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_59

Download citation

Publish with us

Policies and ethics