3D Scene Graph
3D scene graphs represent environments as layered graphs, with nodes representing objects and places, and edges depicting their relationships, aiming to provide robots with a richer understanding of their surroundings than traditional geometric maps. Current research focuses on developing efficient algorithms for scene graph construction and optimization, often employing graph neural networks and large language models to integrate semantic and geometric information, and to handle open-vocabulary objects and relationships. This research is significant for advancing robotics, particularly in areas like navigation, task planning, and human-robot interaction, by enabling more robust and adaptable autonomous systems.
Papers
3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding
Tatiana Zemskova, Dmitry Yudin
MR-COGraphs: Communication-efficient Multi-Robot Open-vocabulary Mapping System via 3D Scene Graphs
Qiuyi Gu, Zhaocheng Ye, Jincheng Yu, Jiahao Tang, Tinghao Yi, Yuhan Dong, Jian Wang, Jinqiang Cui, Xinlei Chen, Yu Wang