Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

YASMIN: Yet Another State MachINe

  • Conference paper
  • First Online:
ROBOT2022: Fifth Iberian Robotics Conference (ROBOT 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 590))

Included in the following conference series:

Abstract

State machines are a common mechanism for defining behaviors in robots where each behavior is based on identifiable stages. There are several libraries available for easing the implementation of state machines in ROS 1, however, the community was focused on SMACH or SMACC. Although these tools are still predominant, there are fewer alternatives for ROS 2. Besides, Behavior Trees are spreading fast, but there is a niche for using State Machines. Here, YASMIN is presented as yet another library specifically designed for ROS 2 for easing the design of robotic behaviors using state machines. It is available in C++ and Python, and provides some default states to speed up the development, in addition to a web viewer for monitoring the execution of the system and helping in the debugging.

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 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
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

Notes

  1. 1.

    https://github.com/uleroboticsgroup/yasmin.

References

  1. Psutil. https://github.com/giampaolo/psutil

  2. Aldrich, B.: State machine asynchronous c++. https://smacc.dev/

  3. Aws-Robotics: Aws-robotics/aws-robomaker-small-warehouse-world at foxy-devel. https://github.com/aws-robotics/aws-robomaker-small-warehouse-world/tree/foxy-devel

  4. Bohren, J., Cousins, S.: The SMACH high-level executive [ROS news]. IEEE Robot. Autom. Mag. 17(4), 18–20 (2010)

    Article  Google Scholar 

  5. Colledanchise, M., Natale, L.: On the implementation of behavior trees in robotics. IEEE Robot. Autom. Lett. 6(3), 5929–5936 (2021)

    Article  Google Scholar 

  6. Fox, M., Long, D.: Pddl2.1: an extension to PDDL for expressing temporal planning domains. J. Artif. Intell. Res. (JAIR) 20, 61–124 (2003)

    Google Scholar 

  7. Ghzouli, R., Berger, T., Johnsen, E.B., Dragule, S., Wąsowski, A.: Behavior trees in action: a study of robotics applications. In: Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, pp. 196–209 (2020)

    Google Scholar 

  8. González-Santamarta, M.Á., Rodríguez-Lera, F.J., Álvarez-Aparicio, C., Guerrero-Higueras, Á.M., Fernández-Llamas, C.: MERLIN a cognitive architecture for service robots. Appl. Sci. 10(17), 5989 (2020). https://doi.org/10.3390/app10175989

  9. González-Santamarta, M.Á., Rodríguez-Lera, F.J., Martín, F., Fernández, C., Matellán, V.: Kant: a tool for grounding and knowledge management. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds.) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, vol. 13259, pp. 452–461. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06527-9_45

  10. Iovino, M., Scukins, E., Styrud, J., Ögren, P., Smith, C.: A survey of behavior trees in robotics and AI. Robot. Auton. Syst. 154, 104096 (2022)

    Article  Google Scholar 

  11. Macenski, S., Martin, F., White, R., Ginés Clavero, J.: The marathon 2: a navigation system. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)

    Google Scholar 

  12. Schmidt, V., et al.: CodeCarbon: estimate and track carbon emissions from machine learning computing. https://github.com/mlco2/codecarbon, May 2021

  13. Uleroboticsgroup: Yasmin (yet another state machine) (2021). https://github.com/uleroboticsgroup/yasmin

Download references

Acknowledgment

This work has been partially funded by the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación of the Kingdom of Spain under grant PID2021-126592OB-C21.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miguel Á. González-Santamarta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

González-Santamarta, M.Á., Rodríguez-Lera, F.J., Matellán-Olivera, V., Fernández-Llamas, C. (2023). YASMIN: Yet Another State MachINe. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-21062-4_43

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21061-7

  • Online ISBN: 978-3-031-21062-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics