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.
News
Jun, 2025 Our Paper has been accepted by TIE 2025
Jun, 2024 Our Paper has been accepted by IROS 2024
Jun, 2024 Our Paper has been accepted by RAL 2024
Publications
Task Guided Multimodal Object Search for Service Robots via Reinforcement Learning
Xiaodong Li, Guohui Tian, Yongcheng Cui
IEEE Transactions on Industrial Electronics, 2025
We present a task-guided multimodal object search method for service robots, combining visual, semantic, and object relationship data to improve search efficiency.
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)
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.
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
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