Liu Yaohua
Email: liuyaohua@@gdiist.cn
Personal Profile:
Dr. Liuyaohua obtained his Ph.D. in Electronic Science and Technology from the University of Science and Technology of China in 2023. His main research interests include robot perception and localization, multimodal large models, and embodied intelligence. From September 2023 to March 2024, he served as a special associate researcher at the Artificial Intelligence and Digital Economy Guangdong Provincial Laboratory (Shenzhen), participating in various projects such as the National Natural Science Foundation, Guangdong Province Key R&D Program, and Shenzhen Artificial Intelligence Major Special Project. He has rich research and development experience in heterogeneous multi-agent collaborative control planning in areas such as drones and unmanned vehicles. To date, he has published over 10 SCI/EI papers as the first author and holds two granted invention patents.
• Yaohua Liu, Qingsong Luo, and Yimin Zhou.“Deep Learning-Enabled Fusion to Bridge GPS Outages for INS/GPS Integrated Navigation”, IEEE Sensors Journal 22.9 (2022): 8974-8985.
• Yaohua Liu, Jinqiang Cui, and Wei Liang.“A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope”, Frontiers in Neurorobotics, 2022.
• Yaohua Liu, Yimin Zhou and Xiang Li, “Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network”, IEEE International Joint Conference on Neural Networks, 2018.
• Yaohua Liu, Yimin Zhou, and Yang Zhang.“A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle”, 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2021.
