Future space robot generations will replace astronauts in deep space missions and routine operations. They will use tools, perform assembly, disassembly and handling tasks for maintenance and repair purposes, among others. A key feature of autonomous, task-level commandable maintenance robots is a valid and complete representation of an application's task space for planning and optimizing a rough action sequence facing a specific sensorially classified situation. This paper shows such a representation for a robot based automated material science experiment setup und proposes a method of analysis by which a valid and complete task space model can be obtained. Results of practical experiments with a terrestrial laboratory mock-up using the novel representation scheme are presented as well.


    Access

    Download


    Export, share and cite



    Title :

    Topological Task Space Modelling for Autonomous Space Robot Action Planning


    Contributors:

    Publication date :

    2023



    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Topological Task Space Modelling for Autonomous Space Robot Action Planning

    Matthiesen, J. / International Federation of Automatic Control | British Library Conference Proceedings | 1995


    Space-based space target observation autonomous task planning method based on two-stage planning

    LEI MINGJIA / LI YUQING / ZHOU TIANYAN et al. | European Patent Office | 2025

    Free access

    NASA Autonomous Systems and Operations (ASO) Project: Autonomous Task Planning for In-Space Robotics

    Azimi, Shaun M. / Zemler, Emma C. / Ridley, Justin S. et al. | NTRS | 2019


    Rapid forward search task planning method for space robot auxiliary operation

    LIU ZHENGXIONG / FANG GUOQIANG / LIU XING et al. | European Patent Office | 2023

    Free access

    Towards multi-robot task-motion planning for navigation in belief space

    Thomas A. / Mastrogiovanni F. / Baglietto M. | BASE | 2020

    Free access