Epistemic planning based on Dynamic Epistemic Logic (DEL) allows agents to reason and plan from the perspective of other agents. The framework of DEL-based epistemic planning thereby has the potential to represent significant aspects of Theory of Mind in autonomous robots, and to provide a foundation for human-robot collaboration in which coordination is achieved implicitly through perspective shifts. In this paper, we build on previous work in epistemic planning with implicit coordination. We introduce a new notion of indistinguishability between epistemic states based on bisimulation, and provide a novel partition refinement algorithm for computing unique representatives of sets of indistinguishable states. We provide an algorithm for computing implicitly coordinated plans using these new constructs, embed it in a perceive-plan-act agent loop, and implement it on a robot. The planning algorithm is benchmarked against an existing epistemic planning algorithm, and the robotic implementation is demonstrated on human-robot collaboration scenarios requiring implicit coordination.


    Access

    Download


    Export, share and cite



    Title :

    DEL-based Epistemic Planning for Human-Robot Collaboration: Theory and Implementation


    Contributors:

    Publication date :

    2021-01-01


    Remarks:

    Bolander , T , Hansen , L D & Herrmann , N 2021 , DEL-based Epistemic Planning for Human-Robot Collaboration: Theory and Implementation . in Proceedings of the 18 th International Conference on Principles of Knowledge Representation and Reasoning . International Joint Conferences on Artificial Intelligence Organization , pp. 120–129 , 18 th International Conference on Principles of Knowledge Representation and Reasoning , 03/11/2021 . https://doi.org/10.24963/kr.2021/12



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Advancing Assembly Through Human-Robot Collaboration: Framework and Implementation

    Mohammed, Abdullah / Wang, Lihui | Springer Verlag | 2020


    HUMAN-ROBOT COLLABORATION

    FELIP LEON JAVIER / AHUJA NILESH / CAMPOS MACIAS LEOBARDO et al. | European Patent Office | 2021

    Free access

    Simplifying the A.I. Planning modeling for Human-Robot Collaboration

    Elisa Foderaro / Amedeo Cesta / Alessandro Umbrico et al. | BASE | 2021

    Free access

    Planning and execution with robot trajectory generation in industrial human-robot collaboration

    Cesta, Amedeo / Molinari Tosatti, Lorenzo / Orlandini, Andrea et al. | BASE | 2018

    Free access