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Distributed Robotic Computing

  • Living reference work entry
  • First Online:
Encyclopedia of Robotics
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Synonyms

Robot operating system (ROS); Robotic software middleware

Definitions

Computing hardware in modern robotic platforms ranges from embedded microcontrollers to general-purpose CPU. To implement complex software applications, it is therefore common practice to separate computation in different components, whose execution is concurrent and distributed on the available hardware. Components in a distributed application exchange information – typically through a wired or wireless network – and are coordinated to obtain the desired behavior of the robot. Robotic researchers adopt software middleware to simplify the task of writing distributed applications and increase code reuse. The goals of this entry are to illustrate the general concepts of a software middleware, revise the specific middleware adopted in robotics, and discuss open problems that remain to be addressed.

Overview

A robot application is often too complex to be executed on a single processing unit. This complexity may...

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References

  • Acutronic Robotics (2017) Hardware robot operating system. https://www.h-ros.com/. Accessed: 26 Jan 2017

  • Almquist P (1992) Type of service in the internet protocol suite

    Google Scholar 

  • Bruyninckx H, Soetens P, Koninckx B (2003) The real-time motion control core of the Orocos project. In: IEEE international conference on robotics and automation, pp 2766–2771

    Google Scholar 

  • Calisi D, Censi A, Iocchi L, Nardi D (2012) Design choices for modular and flexible robotic software development: the OpenRDK viewpoint. J Softw Eng Robot 3(1):13–27

    Google Scholar 

  • Collett THJ, MacDonald BA, Gerkey BP (2005) Player 2.0: toward a practical robot programming framework. In: Proceedings of the Australasian conference on robotics and automation (ACRA 2005), p 145

    Google Scholar 

  • Dantam NT, Lofaro DM, Hereid A, Oh P, Ames A, Stilman M (2015) The Ach library. Robot Autom Mag 22(1):76–85

    Article  Google Scholar 

  • Eugster PT, Felber PA, Guerraoui R, Kermarrec AM (2003) The many faces of publish/subscribe. ACM Comput Surv 35(2):114–131. https://doi.org/10.1145/857076.857078

    Article  Google Scholar 

  • Fernandez E, Foote T, Woodall W, Thomas D (2014) Next-generation ROS:building on DDS. https://roscon. ros.org/2014/wp-content/uploads/2014/07/ROSCON- 2014-Next-Generation-of-ROS-on-top-of-DDS.pdf. Accessed: 26 Jan 2017

  • Fitzpatrick P, Ceseracciu E, Domenichelli DE, Paikan A, Metta G, Natale L (2014) A middle way for robotics middleware. J Softw Eng Robot 5(2):42–49

    Google Scholar 

  • Grey MX, Dantam N, Lofaro DM, Bobick A, Egerstedt M, Oh P, Stilman M (2013) Multi-process control software for HUBO2 plus robot. In: 2013 IEEE conference on technologies for practical robot applications (TePRA), pp 1–6. https://doi.org/10.1109/TePRA.2013.6556374

  • Hammer T, Bäuml B (2013) The highly performant and realtime deterministic communication layer of the aRDx software framework. In: IEEE international conference on advanced robotics. IEEE, pp 1–8

    Google Scholar 

  • Huang AS, Olson E, Moore DC (2010) LCM: Lightweight communications and marshalling. In: IEEE/RSJ intelligent robots and systems, pp 4057–4062

    Google Scholar 

  • iMatix Corporation (2014) ZeroMQ Distributed Messaging. http://zeromq.org/. Accessed: 26 Jan 2017

  • Mallet A, Pasteur C, Herrb M, Lemaignan S, Ingrand F (2010) GenoM3: Building middleware-independent robotic components. In: IEEE international conference on robotics and aUTOMATION. IEEE, pp 4627–4632

    Google Scholar 

  • Metta G, Fitzpatrick P, Natale L (2006) YARP: yet another robot platform. Int J Adv Robot Syst 3(1):43–48. https://doi.org/10.5772/5761

    Article  Google Scholar 

  • Morante S, Victores JG, Balaguer C (2015) Cryptobotics: why robots need cyber safety. Front Robot AI 2. https://doi.org/10.3389/frobt.2015.00023

  • Natale L, Paikan A, Randazzo M, Domenichelli DE (2016) The iCub software architecture: evolution and lessons learned. Front Robot AI 3(24). https://doi.org/10.3389/frobt.2016.00024

  • OMG (1997a) Corba. http://www.corba.org/. Accessed: 26 Jan 2017

  • OMG (1997b) DDS Portal – Data Distribution Services. http://portals.omg.org/dds/omg-dds-standard/. Accessed: 26 Jan 2017

  • Paikan A, Fitzpatrick P, Metta G, Natale L (2014) Data flow port monitoring and arbitration. J Softw Eng Robot 5(1):80–88

    Google Scholar 

  • Paikan A, Pattacini U, Domenichelli D, Randazzo M, Metta G, Natale L (2015) A best-effort approach for run-time channel prioritization in real-time robotic application. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems, Hamburg

    Book  Google Scholar 

  • Quigley M, Conley K, Gerkey B, Faust J, Foote T, Leibs J, Wheeler R, Ng AY (2009) ROS: an open-source robot operating system. In: ICRA workshop on open source software, vol 3, p 5

    Google Scholar 

  • Schlegel C, Worz R (1999) The software framework SMARTSOFT for implementing sensorimotor systems. In: IEEE/RSJ international conference on intelligent robots and systems, vol 3. IEEE, pp 1610–1616

    Google Scholar 

  • Stampfer D, Lotz A, Lutz M, Schlegel C (2016) The SmartMDSD toolchain: an integrated MDSD workflow and integrated development environment (IDE) for robotics software. J Softw Eng Robot 1(7):3–19

    Google Scholar 

  • Szyperski C (2002) Component software: beyond object-oriented programming, 2nd edn. Addison-Wesley Longman Publishing Co., Inc., Boston

    MATH  Google Scholar 

  • Tanenbaum AS, Maarten vS (2006) Distributed systems: principles and paradigms, 2nd edn. Prentice-Hall, Inc., Upper Saddle River

    Google Scholar 

  • Tsouroukdissian AR (2014) ROS control, an over- view.https://roscon.ros.org/2014static_replacement/wp- content/uploads/2014/07/ros_control_an_overview.pdf. Accessed: 26 Jan 2017

  • Vahrenkamp N, Wächter M, Kröhnert M, Welke K, Asfour T (2015) The robot software framework ArmarX. Inf Technol 57(2):99–111. https://doi.org/doi.org/10.1515/itit-2014-1066,

    Google Scholar 

  • White R, Christensen HI, Quigley M (2016) SROS: securing ROS over the wire, in the graph, and through the kernel. CoRR abs/1611.07060, http://arxiv.org/abs/1611.07060

  • ZeroC Inc (2017) Ice Comprehensive RPC Framework. https://doc.zeroc.com/. Accessed: 26 Jan 2017

  • Zhao Y, Paine N, Kim KS, Sentis L (2015) Stability and performance limits of latency-prone distributed feedback controllers. arXiv:150102854 [cs] ArXiv: 1501.02854

    Google Scholar 

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Correspondence to Lorenzo Natale .

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Natale, L. (2020). Distributed Robotic Computing. In: Ang, M., Khatib, O., Siciliano, B. (eds) Encyclopedia of Robotics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41610-1_4-1

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  • DOI: https://doi.org/10.1007/978-3-642-41610-1_4-1

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  • Publisher Name: Springer, Berlin, Heidelberg

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