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Cognitive Architecture as a Service: Scaffolded Integration of Heterogeneous Models Through Event Streams

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Biomimetic and Biohybrid Systems (Living Machines 2022)

Abstract

The development of cognitive architectures for biomimetic robots can benefit from the seamless integration of computational models that capture some of the brain’s capacity to co-ordinate adaptive behavior. Such integration could take advantage of recent advances in distributed systems technology to support the communication between models, however, a communication protocol general enough to allow for heterogeneity, yet, simple enough to be practical and widely used, remains elusive. In this work we propose a solution based on a scaffolded structure that provides constraints for the different models to satisfy. Within this paradigm, the models do not interact among themselves but communicate using event sourcing technology supported by the open source stream processing platform Apache Kafka. This design allows the integration of brain-based models without having to specify module-to-module interfaces. At the same time, the robot acts as a consumer and producer of events through the Neurorobotic Platform (NRP) (part of the Human Brain Project’s EBrains platform), meaning that the cognitive architecture has the potential to integrate components provided by a growing community of computational neuroscientists, and to be integrated with different robot platforms. In this paper we present this approach, which we term Cognitive architecture as a Service (CaaS), which is further motivated by the goal of creating assistive robots for human care settings. We also describe some early results, based on the MiRo-e robot platform, aimed at the development and evaluation of brain-based control for applications in this setting.

Supported by organization the Human Brain Project.

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References

  1. Amoretti, M., Reggiani, M.: Architectural paradigms for robotics applications. Adv. Eng. Inform. 24(1), 4–13 (2010)

    Article  Google Scholar 

  2. Prescott, T.J., Redgrave, P., Gurney, K.: Layered control architectures in robots and vertebrates. Adapt. Behav. 7(1), 99–127 (1999)

    Article  Google Scholar 

  3. Jimenez-Rodriguez, A., Prescott, T.J., Schmidt, R., Wilson, S.: A framework for resolving motivational conflict via attractor dynamics. In: Living Machines 2020. LNCS (LNAI), vol. 12413, pp. 192–203. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-64313-3_19

    Chapter  Google Scholar 

  4. Mitchinson, B., et al.: BRAHMS: novel middleware for integrated systems computation. Adv. Eng. Inform. 24(1), 49-61 (2010)

    Google Scholar 

  5. Arkin, R.C., et al.: An ethological and emotional basis for human-robot interaction. Robot. Auton. Syst. 42(3), 191–201 (2003)

    Article  MATH  Google Scholar 

  6. Asada, M., MacDorman, K.F., Ishiguro, H., et al.: Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robot. Auton. Syst. 37(2), 185–193 (2001)

    Article  MATH  Google Scholar 

  7. Cangelosi, A., Schlesinger, M., Smith, L.B.: Developmental robotics: from babies to robots. MIT Press, Cambridge, MA (2015)

    Google Scholar 

  8. Cross, E.S., Hortensius, R., Wykowska, A.: From social brains to social robots: applying neurocognitive insights to human-robot interaction. Philos. Trans. Roy. Soc. B: Biol. Sci. 374(1771), 20180024 (2019)

    Article  Google Scholar 

  9. Falotico, E., et al.: Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform. Front. Neurorobot. 11, 2 (2017)

    Google Scholar 

  10. Kabacińska, K., Prescott, T.J., Robillard, J.M.: Socially assistive robots as mental health interventions for children: a scoping review. Int. J. Soc. Robot. 13, 919–935 (2020). https://doi.org/10.1007/s12369-020-00679-0

  11. Kachouie, R., Sedighadeli, S., Abkenar, A.B.: The role of socially assistive robots in elderly wellbeing: a systematic review. In: Rau, P.-L.P. (ed.) Cross-Cultural Design 9th International Conference (2017)

    Google Scholar 

  12. Kreps, J., Narkhede, N., Rao, J.: Kafka: a distributed messaging system for log processing. In: Proceedings of the NetDB, vol. 11, pp. 1–7 (2011)

    Google Scholar 

  13. Kotseruba, I., Gonzalez, O.J.A., Tsotsos, J.K.: A review of 40 years of cognitive architecture research: focus on perception, attention, learning and applications. arXiv:1610.08602 (2016)

  14. Logan, D.E., Breazeal, C., Goodwin, M.S., et al.: Social robots for hospitalized children. Pediatrics 144(1), e20181511 (2019)

    Google Scholar 

  15. Lungarella, M., Metta, G., Pfeifer, R., et al.: Developmental robotics: a survey. Connect. Sci. 15(4), 151–190 (2003)

    Article  Google Scholar 

  16. Mann, J.A., et al.: People respond better to robots than computer tablets delivering healthcare instructions. Comput. Hum. Behav. 43, 112–117 (2015)

    Article  Google Scholar 

  17. Marti, P., et al.: Socially assistive robotics in the treatment of behavioural and psychological symptoms of dementia. In: The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 483–488. BioRob (2006)

    Google Scholar 

  18. Mitchinson, B., Prescott, T.J.: MIRO: a robot “mammal’’ with a biomimetic brain-based control system. In: Lepora, N.F.F., Mura, A., Mangan, M., Verschure, P.F.M.J.F.M.J., Desmulliez, M., Prescott, T.J.J. (eds.) Living Machines 2016. LNCS (LNAI), vol. 9793, pp. 179–191. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42417-0_17

    Chapter  Google Scholar 

  19. Prescott, T.J., Robillard, J.M.: Are friends electric? The benefits and risks of human-robot relationships. iScience 24, 101993 (2021)

    Google Scholar 

  20. Ostrowski, A.K., DiPaola, D., Partridge, E., et al.: Older adults living with social robots: promoting social connectedness in long-term communities. IEEE Robot. Autom. Mag. 26(2), 59–70 (2019)

    Article  Google Scholar 

  21. Perugia, G., Díaz-Boladeras, M., Català-Mallofré, A., et al.: ENGAGE-DEM: a model of engagement of people with dementia. IEEE Trans. Affect. Comput. PP(99), 1 (2020). https://doi.org/10.1109/TAFFC.2020.2980275

  22. Pu, L., Moyle, W., Jones, C., et al.: The effectiveness of social robots for older adults: a systematic review and meta-analysis of randomized controlled studies. Gerontologist 59(1), e37–e51 (2018)

    Article  Google Scholar 

  23. Shibata, T., Wada, K.: Robot therapy: a new approach for mental healthcare of the elderly - a mini-review. Gerontology 57(4), 378–386 (2011)

    Article  Google Scholar 

  24. Verschure, P.F.M.J.: The distributed adaptive control architecture of the mind, brain, body nexus. Biol. Inspired Cogn. Archit. - BICA 1, 55–72 (2012)

    Google Scholar 

  25. Neurorobotics.net. 2022. Tutorial setup - HBP Neurorobotics Platform 3.2.0 documentation. https://neurorobotics.net/Documentation/latest/nrp/modules/CLE/hbp_nrp_cle/tutorials/setup.html. Accessed 4 July 2022

  26. Robillard, J.M., Hoey, J.: Emotion and motivation in cognitive assistive technologies for dementia. Computer 51(3), 24–34 (2018)

    Article  Google Scholar 

  27. Apache Kafka. 2022. Apache Kafka. https://kafka.apache.org. Accessed 4 July 2022

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Acknowledgements

This work was supported by the EU H2020 Programme as part of the Human Brain Project (HBP-SGA3), and specifically, through the CATRA (Cognitive Architecture for Therapy Robots and Avatars) project which was supported by the EBRAINS Research Infrastructure Voucher Programme. We thank the anonymous reviewers for the useful comments on earlier versions of the paper.

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Correspondence to Alejandro Jimenez-Rodriguez .

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TJP is a director and shareholder of Consequential Robotics Ltd which develops the MiRo-e robot. The other authors have no competing interests.

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Jimenez-Rodriguez, A., Robillard, J., Prescott, T. (2022). Cognitive Architecture as a Service: Scaffolded Integration of Heterogeneous Models Through Event Streams. In: Hunt, A., et al. Biomimetic and Biohybrid Systems. Living Machines 2022. Lecture Notes in Computer Science(), vol 13548. Springer, Cham. https://doi.org/10.1007/978-3-031-20470-8_34

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  • DOI: https://doi.org/10.1007/978-3-031-20470-8_34

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