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Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：47/1  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 24, 页码: 16
作者:  Shen, Yusong;  Zhang, Liwen;  Shang, Yaxin;  Jia, Guang;  Yin, Lin;  Zhang, Hui;  Tian, Jie;  Yang, Guanyu;  Hui, Hui
收藏  |  浏览/下载：73/0  |  提交时间：2024/02/22
magnetic particle imaging  real-time reconstruction  parallel iterative method  parallel computation  
Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Wang, Yu;  Su, Hu
Adobe PDF(4065Kb)  |  收藏  |  浏览/下载：97/3  |  提交时间：2023/11/16
Bionic underwater vehicle (BUV)  model predictive control (MPC)  trajectory tracking  undulatory propulsion  
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：142/42  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Rethinking Pretraining as a Bridge From ANNs to SNNs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Lin, Yihan;  Hu, Yifan;  Ma, Shijie;  Yu, Dongjie;  Li, Guoqi
收藏  |  浏览/下载：247/0  |  提交时间：2023/03/20
Training  Task analysis  Neurons  Pipelines  Artificial neural networks  Feature extraction  Transfer learning  Event-driven dataset  neural network (NN) analysis  pretraining technique  spiking NN (SNN)  transfer learning  
Performance Improvement of a High-Speed Swimming Robot for Fish-Like Leaping 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1936-1943
作者:  Chen, Di;  Wu, Zhengxing;  Zhang, Pengfei;  Tan, Min;  Yu, Junzhi
Adobe PDF(2838Kb)  |  收藏  |  浏览/下载：358/70  |  提交时间：2022/06/06
Biologically-inspired robots  mechanism design  compliant joints and mechanisms  high-speed swimming  fish-like leaping motion  
Development of a High-Speed Swimming Robot With the Capability of Fish-Like Leaping 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 11
作者:  Chen, Di;  Wu, Zhengxing;  Meng, Yan;  Tan, Min;  Yu, Junzhi
Adobe PDF(3155Kb)  |  收藏  |  浏览/下载：298/64  |  提交时间：2022/02/16
Robots  Oscillators  Sports  Propulsion  Springs  Shafts  Mechatronics  Bioinspired robotic fish  compliant joint  dynamic modeling  high-frequency propulsion  high swimming performance  
Development and Stiffness Optimization for a Flexible-Tail Robotic Fish 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 834-841
作者:  Lu, Ben;  Zhou, Chao;  Wang, Jian;  Fu, Yuzhuo;  Cheng, Long;  Tan, Min
Adobe PDF(2476Kb)  |  收藏  |  浏览/下载：291/1  |  提交时间：2022/01/27
Biomimetics  biologically-inspired robots  mechanism design  
Distributed Dynamic Event-Triggered Control for Euler-Lagrange Multiagent Systems With Parametric Uncertainties 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Cao, Ran;  Cheng, Long
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：271/38  |  提交时间：2022/01/27
Vehicle dynamics  Nonlinear dynamical systems  Symmetric matrices  Laplace equations  Heuristic algorithms  Directed graphs  Robot sensing systems  Consensus  containment  dynamic event-triggered control  Euler-Lagrange system  multiagent systems (MASs)  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：331/54  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)