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Planning in Inhabited Environments

Human-Aware Task Planning and Activity Recognition

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Abstract

Our work addresses issues related to the cohabitation of service robots and people in unstructured environments. We propose new planning techniques to empower robot means-end reasoning with the capability of taking into account human intentions and preferences. We also address the problem of human activity recognition in instrumented environments. We employ a constraint-based approach to realize a continuous inference process to attach a meaning to sensor traces as detected by sensors distributed in the environment.

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Notes

  1. The PDF version of the thesis can be downloaded from http://oru.diva-portal.org/smash/get/diva2:370049/FULLTEXT03.

  2. SAM stands for “SAM the Activity Manager”.

References

  1. Cirillo M (2010) Planning in inhabited environments: Human-aware task planning and activity recognition. PhD thesis, Örebro University, Sweden

  2. Cirillo M, Karlsson L, Saffiotti A (2010) Human-aware task planning: an application to mobile robots. ACM Trans Intel Syst Technol 2:15:1–15:26 (Special issue on applications of automated planning)

    Google Scholar 

  3. Cirillo M, Pecora F, Saffiotti A (2011, in print) Proactive assistance in peis-ecologies: a constraint-based approach. In: Handbook of research on ambient intelligence and smart environments: trends and perspectives. IGI Global, Hershey

    Google Scholar 

  4. Fratini S, Pecora F, Cesta A (2008) Unifying planning and scheduling as timelines in a component-based perspective. Arch Control Sci 18(2):231–271

    MathSciNet  MATH  Google Scholar 

  5. Karlsson L (2001) Conditional progressive planning under uncertainty. In: Proc of IJCAI

    Google Scholar 

  6. Lee JH, Hashimoto H (2002) Intelligent space—concept and contents. Adv Robot 16(3):265–280

    Article  Google Scholar 

  7. Nau D, Ghallab M, Traverso P (2004) Automated planning: theory & practice. Morgan Kaufmann, San Mateo

    MATH  Google Scholar 

  8. Saffiotti A, Broxvall M, Gritti M, LeBlanc K, Lundh R, Rashid J, Seo BS, Cho YJ (2008) The PEIS-ecology project: vision and results. In: Proc of IROS

    Google Scholar 

  9. Sgorbissa A, Zaccaria R (2004) The artificial ecosystem: a distributed approach to service robotics. In: Proc of ICRA

    Google Scholar 

  10. Tapus A, Mataric MJ, Scassellati B (2007) The grand challenges in socially assistive robotics. IEEE Robot Autom Mag 14(1):35–42

    Article  Google Scholar 

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Acknowledgements

The work described in the thesis has been supported by CUGS (Swedish national computer science graduate school) and by the Swedish KK foundation. We are grateful to Lars Karlsson, Alessandro Saffiotti and Federico Pecora for their supervision and support. We also thank Dana Nau and Rachid Alami for the useful discussions and insightful advices.

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Authors and Affiliations

  1. AASS Research Centre, Örebro University, Örebro, Sweden

    Marcello Cirillo

Authors
  1. Marcello Cirillo
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Correspondence to Marcello Cirillo.

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Cirillo, M. Planning in Inhabited Environments. Künstl Intell 25, 355–358 (2011). https://doi.org/10.1007/s13218-011-0105-z

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  • DOI: https://doi.org/10.1007/s13218-011-0105-z

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