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Posts by Collection
portfolio
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publications
Fine-Grained Task Planning for Service Robots Based on Object Ontology Knowledge via Large Language Models
Published in June 11, 2024
We present the Fine-Grained Task Planning (FGTP) framework, which uses object ontology and Large Language Models (LLMs) to create detailed action plans. FGTP processes text and images to understand object attributes and uses logic-based reasoning to find alternatives if tasks fail. Tests in VirtualHome and with the TIAGo robot confirm its effectiveness.
Recommended citation: Li X, Tian G, Cui Y. Fine-Grained Task Planning for Service Robots Based on Object Ontology Knowledge Via Large Language Models[J]. IEEE Robotics and Automation Letters, 2024.
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Transformer-Based Relationship Inference Model for Household Object Organization by Integrating Graph Topology and Ontology
Published in June 30, 2024
We introduce a dataset of household objects’ properties and relationships, along with a graph-based model combining GAT and BERT to predict these relationships. Using a Transformer framework, our approach improves robots’ ability to organize objects by accurately predicting their relationships.
Recommended citation: None
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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