A Goal Triggering Mechanism for Continuous Human-Robot Interaction

  • Alessandro UmbricoEmail author
  • Amedeo Cesta
  • Gabriella Cortellessa
  • Andrea Orlandini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11298)


The deployment of autonomous robots capable to both socially interact and proactively offer support to human users in a common life scenario remains challenging despite the recent technical advancements. For instance, research for endowing autonomous robots with the capability of acting in “non-ideal” and partially observable environments as well as socially interacting with humans is still an area in which improvements are specifically needed. To this aim, this paper elaborates on the need for integrating different Artificial Intelligence (AI) techniques to foster the development of personal robotic assistants continuously supporting older adults. Recently, the authors have been working on proposing an AI-based cognitive architecture that integrates knowledge representation and automated planning techniques in order to endow assistive robots with proactive and context situated abilities. This paper particularly describes a goal triggering mechanism to allow a robot to reason over the status of the user and the living environment with the aim of dynamically generating high-level goals to be planned accordingly.


Goal reasoning Knowledge reasoning Planning and acting Timeline-based planning Sensor networks Intelligent capabilities integration 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Alessandro Umbrico
    • 1
    Email author
  • Amedeo Cesta
    • 1
  • Gabriella Cortellessa
    • 1
  • Andrea Orlandini
    • 1
  1. 1.CNR – Italian National Research Council, ISTC – Institute of Cognitive Sciences and TechnologiesRomeItaly

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