In multi-agent systems, the ability to infer intentions allows artificial agents to act proactively and with partial information. In this paper we propose an algorithm to infer a speakers intentions with natural language analysis combined with plan recognition. We define a Natural Language Understanding component to classify semantic roles from sentences into partially instantiated actions, that are interpreted as the intention of the speaker. These actions are grounded to arbitrary, hand-defined task domains. Intent recognition with partial actions is statistically evaluated with several planning domains. We then define a Human-Robot Interaction setting where both utterance classification and plan recognition are tested using a Pepper robot. We further address the issue of missing parameters in declared intentions and robot commands by leveraging the Principle of Rational Action, which is embedded in the plan recognition phase.


    Access

    Download


    Export, share and cite



    Title :

    Intent Recognition from Speech and Plan Recognition


    Contributors:

    Publication date :

    2021-03-10



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    004 / 629




    Recognition of Affective Communicative Intent in Robot-Directed Speech

    Breazeal, C. / Aryananda, L. | British Library Online Contents | 2002


    Driving intent recognition

    GLASER STEFAN / ENGEL MARTIN | European Patent Office | 2022

    Free access

    SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD

    BABA NAOYA / TAKEI TAKUMI | European Patent Office | 2019

    Free access

    SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD

    BABA NAOYA / TAKEI TAKUMI | European Patent Office | 2020

    Free access

    Gesture Recognition and Showing a Cyclist’s Intent

    Bridgeman, Thomas / Gibson, Helena / Meehan, Kevin | IEEE | 2023