Cognitive Graph SLAM Based on Quantum Graph Neural Networks: Semantic Graph SLAM with Human-Level Spatial Cognition

Figshare 2026 Dataset Open access

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Authors: Shiwei Chu
DOI: 10.6084/m9.figshare.31157293
Cited by: 0

Abstract

Traditional Simultaneous Localization and Mapping (SLAM) methods are limited in semantic understanding and fail to capture human-level spatial cognition. To address this gap, the study proposes a cognitive graph SLAM framework based on Quantum Graph Neural Networks (QGNN).

Fields of Study & Subjects

Robotics and Sensor-Based Localization Spatial Cognition and Navigation Indoor and Outdoor Localization Technologies

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset