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Robot Planning based on Behavior Tree and Knowledge Graph

Yuanhai Zhou, Shiqiang Zhu, Wei Song, Jianjun Gu, Jie Ren, Xiangming Xi, Tianlei Jin, Zonghao Mu

Year
2022
Citations
5

Abstract

Task planning refers to ordering executive actions to ensure the efficient and successful completion of the robot task. Unlike previous methods, we propose new ideas, based on Knowledge, that can make robot strategy, in addition to automatically enhancing behavior tree building. Various knowledge bases are applied to our robot brain system, serving as robot planning and used for lab exhibitions. According to And Or Graph and graphing database, a special knowledge graph is designed to simplify the robot's planned routes. We analyze the proposed approach and validate our ideas through experiments on human guide robots.

Keywords

RobotComputer scienceTask (project management)GraphHuman–computer interactionArtificial intelligenceTree (set theory)ExhibitionKnowledge graphTheoretical computer science

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