Skip to main content

Design of a SLAM Map Building System for a Ground-Based Robot Using ROS

  • Conference paper
  • First Online:
Computational Intelligence in Pattern Recognition

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1349))

  • 953 Accesses

Abstract

Robots operate autonomously to perform services for human well-being. Intelligent machines capable of handling tasks on their own without human intervention are autonomous robots. The knowledge of autonomous robots is required for service robots. Service robots are becoming more and more popular nowadays. They can be used in various sectors such as health care, agriculture, hotel, military, etc. So the aim of this paper is to design and develop a mechanical ROS robot on which further a SLAM system for the robot is built, which will be capable of building maps of the environment. Further, this system can also be used in various robotics applications like obstacle avoidance, navigation, etc.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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. Bakri, M.Q., Ismail1, A.H.: A review on service robots: mechanical design and localization system. In: 5th International Conference on Man Machine Systems

    Google Scholar 

  2. Ozkil, A.G., Fan, Z., Dawids, S., Aanes, H., Kristensen, J.K., Christensen, K.H.: Service robots for hospitals: a case study of transportation tasks in a hospital. In: 2009 IEEE International Conference on Automation and Logistics, Shenyang, pp. 289–294 (2009). https://doi.org/10.1109/ical.2009.5262912

  3. Zhang, Y., Wang, X., Wu, X., Zhang, W., Jiang, M., Al-Khassaweneh, M.: Intelligent hotel ROS-based service robot. In: 2019 IEEE International Conference on Electro Information Technology (EIT), Brookings, SD, USA, pp. 399–403 (2019). https://doi.org/10.1109/eit.2019.8834040

  4. Bay, H., Tuytelaars, T., Van Gool, L.: SURF: speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds) Computer Vision—ECCV 2006. ECCV 2006. Lecture Notes in Computer Science, vol 3951. Springer, Berlin, Heidelberg (2006). https://doi.org/10.1007/11744023_32

  5. Cheong, A., Lau, Michael., Foo, Edwin., Hedley, J., Bo, Ju: Development of a robotic waiter system. IFAC-PapersOnLine 49, 681–686 (2016). https://doi.org/10.1016/j.ifacol.2016.10.679

    Article  Google Scholar 

  6. Rosserial. http://wiki.ros.org/action/fullsearch/rosserial?action=fullsearch&context=180&value=linkto%3A%22rosserial%22. ROS.org

  7. Silva, B.M.F.D., Xavier, R.S., Gonçalves, L.M.G.: Mapping and navigation for indoor robots under ROS: an experimental analysis. Preprints, 2019070035 (2019). https://doi.org/10.20944/preprints201907.0035.v1

  8. Quigley, M., Gerkey, B., Smart, W.D.: Programming Robots with ROS: a Practical Introduction to the Robot Operating System, 1st edn. O’Reilly Media, Inc. (2015)

    Google Scholar 

  9. Ramachandran, S., Sahin, F.: Smart Walker V: implementation of RTAB-Map algorithm. In: 2019 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, AK, USA, pp. 340–345 (2019). https://doi.org/10.1109/sysose.2019.8753827

  10. Rtabmap.: http://wiki.ros.org/rtabmap. ROS.org

  11. Saat, S., Airini, A.N.M.F., Saealal, M.S., Wan Norhisyam, A.R., Farees Ezwan, M.S.: Hector SLAM 2D mapping for simultaneous localization and mapping (SLAM). J Eng Appl Sci 14, 5610–5615

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shinde, S., Tailor, P., Mahajan, T., Khachane, S., Kulkarni, S., Borle, P. (2022). Design of a SLAM Map Building System for a Ground-Based Robot Using ROS. In: Das, A.K., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition . Advances in Intelligent Systems and Computing, vol 1349. Springer, Singapore. https://doi.org/10.1007/978-981-16-2543-5_23

Download citation

Publish with us

Policies and ethics