I am a second-year master student at the School of Control Science and Engineering, Shandong University, specializing in control engineering, with a primary research interest in service robotics, and I graduated from China University of Petroleum (East China) with a B.S. degree in 2023.

My research interests include service robotics, task planning, and embodied intelligence. Currently, I am working on general-purpose robotics approaches that can understand human commands and interact with the physical world to execute them.

Email / Github / CSDN

News

  • Jun, 2024       Our Paper has been accepted by IROS 2024

  • Jun, 2024       Our Paper has been accepted by RAL 2024

Publications

Flow Diagram

Transformer-Based Relationship Inference Model for Household Object Organization by Integrating Graph Topology and Ontology

Xiaodong Li, Guohui Tian, Yongcheng Cui, Yu Gu

The 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

Paper / Code

We introduce a dataset of household object properties and a graph-based model combining GAT and BERT to predict relationships, improving robots' object organization using a Transformer framework.

Flow Diagram

Fine-Grained Task Planning for Service Robots Based on Object Ontology Knowledge via Large Language Models

Xiaodong Li, Guohui Tian, Yongcheng Cui

IEEE Robotics and Automation Letters, 2024

Paper / Code

We introduce the Fine-Grained Task Planning (FGTP) framework, which uses object ontology and LLMs to generate action plans and identify alternatives when tasks fail.

Honors

  • National Scholarship, 2024

  • National Scholarship, 2020