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Integration of a Free Navigation Autonomous Mobile Robot into a Graph and ROS-Based Robot Fleet Manager

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Robot 2023: Sixth Iberian Robotics Conference (ROBOT 2023)

Abstract

The need for interoperability between robots of different brands and navigation typologies, graph-based and free navigation, is increasing and this has led to the development of a new approach to empower a graph and ROS-based robot fleet manager for the management of free navigation mobile robots.

For this implementation and validation, in real tests, the OMRON LD-90 was the mobile robot platform chosen, which has the particularity of not allowing the execution of a waypoints sequence. A software module was developed to exchange data between a non-ROS-based mobile robot and a specific ROS-based robot fleet manager.

This is an approach applicable to any free navigation Autonomous Mobile Robot (AMR) with the necessary adaptations regarding the information provided by the different robot brands.

This work is co-financed by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021–2026, within project Produtech_R3, with reference 60.

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References

  1. Fetch Robotics, Inc.: Fetch robotics. https://fetchrobotics.com/cloud-software/. Accessed 20 Jul 2023

  2. Karur, K., Sharma, N., Dharmatti, C., Siegel, J.E.: A survey of path planning algorithms for mobile robots. Vehicles 3(3), 448–468 (2021). https://doi.org/10.3390/vehicles3030027

    Article  Google Scholar 

  3. LaValle, S.M., Kuffner, J.J., Donald, B., et al.: Rapidly-exploring random trees: progress and prospects. Algorithmic Comput. Robot. 5, 293–308 (2001)

    Google Scholar 

  4. MiR: Centralized control with MiR fleet: mobile industrial robots. https://www.mobile-industrial-robots.com/solutions/mir-accessories/mir-fleet/. Accessed 20 Jul 2023

  5. OMRON, Europe: Fleet manager. https://industrial.omron.eu/en/products/fleet-manager. Accessed 20 Jul 2023

  6. OTTO Motors: Otto fleet manager. https://ottomotors.com/fleet-manager. Accessed 20 Jul 2023

  7. Quigley, M., et al.: ROS: an open-source robot operating system. In: ICRA Workshop on Open Source Software, vol. 3, p. 5. Kobe, Japan (2009)

    Google Scholar 

  8. Santiago, R.M.C., De Ocampo, A.L., Ubando, A.T., Bandala, A.A., Dadios, E.P.: Path planning for mobile robots using genetic algorithm and probabilistic roadmap. In: 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pp. 1–5 (2017). https://doi.org/10.1109/HNICEM.2017.8269498

  9. Santos, J., Costa, P., Rocha, L.F., Moreira, A.P., Veiga, G.: Time enhanced a.: towards the development of a new approach for multi-robot coordination. In: 2015 IEEE International Conference on Industrial Technology (ICIT), pp. 3314–3319. IEEE (2015)

    Google Scholar 

  10. Sánchez-Ibáñez, J.R., Pérez-del Pulgar, C.J., García-Cerezo, A.: Path planning for autonomous mobile robots: a review. Sensors 21(23), 7898 (2021). https://doi.org/10.3390/s21237898, https://www.mdpi.com/1424-8220/21/23/7898

  11. Zhang, Z., Zhao, Z.: A multiple mobile robots path planning algorithm based on a-star and dijkstra algorithm. Int. J. Smart Home 8(3), 75–86 (2014)

    Article  MathSciNet  Google Scholar 

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Correspondence to Paulo M. Rebelo .

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Rebelo, P.M., Félix, M.C., Oliveira, P.M., Sobreira, H., Costa, P. (2024). Integration of a Free Navigation Autonomous Mobile Robot into a Graph and ROS-Based Robot Fleet Manager. In: Marques, L., Santos, C., Lima, J.L., Tardioli, D., Ferre, M. (eds) Robot 2023: Sixth Iberian Robotics Conference. ROBOT 2023. Lecture Notes in Networks and Systems, vol 976. Springer, Cham. https://doi.org/10.1007/978-3-031-58676-7_25

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