Integration of Symbolic Task Planning into Operations within an Unstructured Environment

Author:

Qiu Renxi1,Noyvirt Alexandre1,Ji Ze1,Soroka Anthony1,Li Dayou2,Liu Beisheng2,Arbeiter Georg3,Weisshardt Florian3,Xu Shuo4

Affiliation:

1. Cardiff University, UK

2. University of Bedfordshire, UK

3. Fraunhofer IPA, Germany

4. Shanghai University, China

Abstract

To ensure a robot capable of robust task execution in unstructured environments, task planners need to have a high-level understanding of the nature of the world, reasoning for deliberate actions, and reacting to environment changes. Proposed is a practical task planning approach that seamlessly integrating deeper domain knowledge, real time perception and symbolic planning for robot operation. A higher degree of autonomy under unstructured environment will be endowed to the robot with the proposed approach.

Publisher

IGI Global

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering

Reference38 articles.

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4. Task planning and action coordination in integrated sensor-based robots

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