机器人高性能传感技术
戴厚德,男,汉族,湖南邵阳人,博士研究生。现任中国科学院海西研究院泉州装备制造研究中心副主任、中国科学院大学博士生导师、福建省人大代表、民建福建省科技委荣誉主任,入选福建省科技创新领军人才、福建省高层次人才(境外B类)等。主要研究方向:机器人高性能传感技术及应用,合作企业包括VIVO、361°、中科光芯、福龙马、恒安等。主持国家自然科学基金(2项)、福建省重大专项“揭榜挂帅”项目、中国科学院仪器装备研制项目等,项目经费超3000万。累计授权发明专利20余项,出版英文专著1部,以第一/通讯作者发表SCI期刊论文40余篇(ESI高被引2篇),获得国际学术会议最佳论文3篇,参与制定行业标准3项和国标1项。获得全国商业科技进步奖特等奖、中国科学院首届职工技能大赛(人工智能领域)三等奖、数字中国峰会创新大赛机器人赛道特等奖、“泉州市最美科技工作者”提名奖等等。指导博士生4名(含中德联合培养1名),硕士生42名,已毕业20余名(就读香港中文大学、南洋理工大学、密歇根大学安娜堡分校、莫斯科国立大学等、南方科技大学等或工作CATL、上海烟草、西门子等)。
1. Xiangpeng Cai, Bowen Lv, Hanchen Yao, Ting Yang and Houde Dai*. V-FCW: Vector-based forward collision warning algorithm for curved road conflicts using V2X networks. Accident Analysis and Prevention, 2024, doi.org/10.1016/j.aap.2024.107836.
2. Shijian Su, Houde Dai*, Yuanchao Zhang, Sishen Yuan, Shuang Song, and Hongliang Ren. Magnetic Tracking with Real-Time Geomagnetic Vector Separation for Robotic Dockable Charging. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(12): 13830 - 13840.
3. Houde Dai, Pengfei Guo, Shijian Su*, Shuang Song*, Silin Zhao. A simplified magnetic positioning approach based on analytical method and data fusion for automated guided vehicles. IEEE/ASME Transactions on Mechatronics, 2022, 27(5): 3065-3075.
4. Zhirong Lin, Zengwei Wang, Houde Dai*, Xuke Xia. Efficient fall detection in four directions based on smart insoles and RDAE-LSTM model. Expert Systems With Applications, 2022, 205: 117661. DOI:org/10.1016/j.eswa.2022.117661.
5. Houde Dai#, Guoen Cai, Zhirong Lin*, Zengwei Wang, Qinyong Ye*. Validation of inertial sensing-based wearable device for tremor and bradykinesia quantification. IEEE Journal of Biomedical and Health Informatics, 2021, 25(4): 997-1005.
6. Wanan Yang, Chaoyang Zhang, Houde Dai*, Chao Hu, Xuke Xia. A novel wireless 5-D electromagnetic tracking system based on nine-channel sinusoidal signals. IEEE/ASME Transactions on Mechatronics, 2020, 26(1): 246-254.
7. Houde Dai#, Guangcai Zhao, Mingqiang Lin*, Ji Wu, Gengfeng Zheng. A novel estimation method for the state of health of lithium-ion battery using prior knowledge-based neural network and Markov chain. IEEE Transactions on Industrial Electronics, 2019, 66(10): 7706-7716.
8. Houde Dai, Lingyu Wu, Yanglin Lian*, and Haijun Lin*. AHRS-Assisted Dynamic Response Compensation of VGRF for Capacitive Force Sensing Insoles. IEEE Sensors Journal,2024, 24(6):8465-8473.
9. Houde Dai, Yuan Lai, Yiyang Huang, Hui Yu, Yuxiang Yang, Liqi Zhu*. State-of-health estimation of lithium-ion batteries using multiple correlation analysis-based feature screening and optimizing echo state networks with the weighted mean of vectors. Journal of Power Sources, 2024, 623, doi.org/10.1016/j.jpowsour.2024.235482.
10. Jiaxin Wang, Liqi Zhu, Houde Dai*. An efficient state-of-health estimation method for lithium-ion batteries based on feature-importance ranking strategy and PSO-GRNN algorithm. Journal of Energy Storage, 2023, 72, DOI:10.1016/j.est.2023.108638.
11. Ran Zhao,, Houde Dai*, Hanchen Yao. Liquid-metal magnetic soft robot with reprogrammable magnetization and stiffness. IEEE Robotics and Automation Letters, 2022, 7(2): 4535-4541.
12. Pengfei Guo, Houde Dai*, Qianhui Yang, Qiaoyuan Huang, Hanchen Yao. An improved magnetic tracking approach based on ResNet-LM fusion algorithm. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-10. DOI:10.1109/TIM.2022.3216597.
13. Houde Dai#, Yadan Zeng*, Mingqiang Lin, Hui Gao, Shuang Song, Max Q.-H. Meng. Prior knowledge-based optimization method for the reconstruction model of multicamera optical tracking system. IEEE Transactions on Automation Science and Engineering, 2020, 17(4): 2074-2084.
14. Houde Dai#, Lifei Dong, Bowen Lv, Yuangui Chen*, Shuang Song, Shijian Su. Feasibility study of permanent magnet-based tumor tracking technique for precise lung cancer radiotherapy. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-10. DOI:10.1109/TIM.2020.3039645
15. Jiesi Luo, Qiaoyuan Huang, Houde Dai*, Shushu Wang, and Yuguang Chen. Adaptively Adjusted EKF-Based Magnet Tracking Method for Fast-Moving Object. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72, DOI.10.1109/TIM.2023.3253892.