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From RoboCup Rescue to Supervised Autonomous Mobile Robots for Remote Inspection of Industrial Plants

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Abstract

With increasing capabilities and reliability of autonomous mobile robots, inspection of remote industrial plants in challenging environments becomes feasible. With the ARGOS challenge, oil and gas company TOTAL S.A. initiated an international competition aimed at the development of the first autonomous mobile robot which can safely operate in complete or supervised autonomy over the entire onshore or offshore production site, potentially in hazardous explosive atmospheres and harsh conditions. In this work, the approach of joint Austrian–German Team ARGONAUTS towards solving this challenge is introduced, focussing on autonomous capabilities. These build on functional components developed during prior participation in the RoboCup Rescue Robot League.

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Notes

  1. http://www.agence-nationale-recherche.fr/ARGOS-Challenge.

References

  1. Chitta S, Sucan I, Cousins S (2012) MoveIt!. IEEE Robot Autom Mag 19(1):18–19

    Article  Google Scholar 

  2. Fankhauser P, Hutter M (2016) A universal grid map library: implementation and use case for rough terrain navigation. In: Koubaa A (ed) Robot operating system (ROS): the complete reference, vol 1. Springer International Publishing, Cham, pp 99–120. doi:10.1007/978-3-319-26054-9_5

  3. Kohlbrecher S, Meyer J, Graber T, Petersen K, Klingauf U, von Stryk O (2014) Hector open source modules for autonomous mapping and navigation with rescue robots. In: Behnke S et al (eds) RoboCup 2013: robot world cup XVII, LNCS, vol 8371. Springer, Berlin, pp 624–631

    Google Scholar 

  4. Kohlbrecher S, von Stryk O, Meyer J, Klingauf U (2011) A flexible and scalable SLAM system with full 3d motion estimation. In: IEEE international symposium on safety, security, and rescue robotics (SSRR), pp 155–160

  5. Kydd K, Macrez S, Pourcel P (2015) Autonomous robot for gas and oil sites. In: SPE offshore Europe conference & exhibition. Society of Petroleum Engineers

  6. Marder-Eppstein E, Berger E, Foote T, Gerkey BP, Konolige K (2010) The office marathon: robust navigation in an indoor office environment. In: IEEE international conferrence on robotics and automation (ICRA), pp 300–307

  7. Pellenz J, Jacoff A, Kimura T, Mihankhah E, Sheh R, Suthakorn J (2015) RoboCup rescue robot league. In: Bianchi RAC, Akin HL, Ramamoorthy S, Sugiura K (eds) RoboCup 2014: robot world cup XVIII. Springer, Cham, pp 673–685. doi:10.1007/978-3-319-18615-3_55

  8. Pomerleau F, Colas F, Siegwart R, Magnenat S (2013) Comparing ICP variants on real-world data sets. Auton Robot 34(3):133–148

    Article  Google Scholar 

  9. Schillinger P, Kohlbrecher S, von Stryk O (2016) Human-robot collaborative high-level control with application to rescue robotics. In: IEEE international conferrence on robotics and automation (ICRA), pp 2796–2802

  10. Sheh R, Jacoff A, Virts A-M, Kimura T, Pellenz J, Schwertfeger S, Suthakorn J (2014) Advancing the state of urban search and rescue robotics through the RoboCupRescue robot league competition. In: Yoshida K, Tadokoro S (eds) Field and service robotics: results of the 8th international conference. Springer, Berlin, Heidelberg, pp 127–142. doi:10.1007/978-3-642-40686-7_9

  11. Wurm KM, Hornung A, Bennewitz M, Stachniss C, Burgard W (2010) OctoMap: a probabilistic, flexible, and compact 3D map representation for robotic systems. In: Proceedings of the IEEE ICRA workshop best practice in 3D perception & modeling for mobile manipulation

  12. Yoshida T, Nagatani K, Tadokoro S, Nishimura T, Koyanagi E (2014) Improvements to the rescue robot quince toward future indoor surveillance missions in the Fukushima Daiichi nuclear power plant. In: Yoshida K, Tadokoro S (eds) Field and service robotics: results of the 8th international conference. Springer, Berlin, Heidelberg, pp 19–32. doi:10.1007/978-3-642-40686-7_2

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Acknowledgments

The authors gratefully acknowledge the contributions by and fruitful cooperation with all members of Teams ARGONAUTS and Hector.

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Authors and Affiliations

  1. Simulation, Systems Optimization and Robotics Group, Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289, Darmstadt, Germany

    Stefan Kohlbrecher & Oskar von Stryk

Authors
  1. Stefan Kohlbrecher
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  2. Oskar von Stryk
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Corresponding author

Correspondence to Stefan Kohlbrecher.

Additional information

Research presented in this paper has been supported within the ARGOS Challenge by TOTAL S.A., within the EUROSTARS Program (Project E9448—ATEX Robot Inspection) by the German Federal Ministry of Education and Research (BMBF) and within the Hessian LOEWE initiative by the NICER project.

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Kohlbrecher, S., Stryk, O.v. From RoboCup Rescue to Supervised Autonomous Mobile Robots for Remote Inspection of Industrial Plants. Künstl Intell 30, 311–314 (2016). https://doi.org/10.1007/s13218-016-0446-8

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  • DOI: https://doi.org/10.1007/s13218-016-0446-8

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