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Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning 期刊论文
Frontiers in Neurorobotics, 2021, 卷号: 15, 页码: 658280
作者:  Duan, Haonan;  Wang, Peng;  Huang, Yayu;  Xu, Guangyun;  Wei, Wei;  Shen, Xiaofei
Adobe PDF(3145Kb)  |  收藏  |  浏览/下载:15/5  |  提交时间:2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
Active learning based 3d semantic labeling from images and videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 32, 期号: 12, 页码: 8101-8115
作者:  Mengqi Rong;  Hainan Cui;  Zhanyi Hu;  Hanqing Jiang;  Hongmin Liu;  Shuhan Shen
Adobe PDF(6704Kb)  |  收藏  |  浏览/下载:144/45  |  提交时间:2023/09/25
Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载:269/97  |  提交时间:2022/06/14
Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments 期刊论文
Sensors, 2021, 期号: 21, 页码: 1-24
作者:  Zheng Rong;  Xiangwei Dang;  Xingdong Liang
Adobe PDF(1080Kb)  |  收藏  |  浏览/下载:208/84  |  提交时间:2022/04/06
SLAM  dynamic environments  LiDAR  mmW-radar  sensor fusion  moving objects  
Further Results on Adaptive Practical Tracking for High-Order Nonlinear Systems With Full-State Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 8
作者:  Xie, Xue-Jun;  Wu, You;  Hou, Zeng-Guang
收藏  |  浏览/下载:161/0  |  提交时间:2022/01/27
Nonlinear systems  Adaptive systems  Trajectory  Safety  Robots  Lyapunov methods  Fuzzy systems  Adaptive practical tracking control  feasibility conditions  full-state constraints  high-order nonlinear systems  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载:270/48  |  提交时间:2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 11
作者:  Wei, Qinglai;  Li, Hongyang;  Wang, Fei-Yue
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载:254/40  |  提交时间:2022/01/27
Regulators  Regulation  Control systems  Stability analysis  Asymptotic stability  Eigenvalues and eigenfunctions  Control theory  Continuous-time linear systems  output regulation  parallel control theory  parallel regulators  parallel systems  
Hydrodynamics of a Flexible Flipper for an Underwater Vehicle-Manipulator System 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 卷号: -, 期号: -, 页码: 1-11
作者:  Bai XJ(白雪剑);  Wang Y(王宇);  Wang R(王睿);  Wang S(王硕);  Tan M(谭民)
Adobe PDF(8510Kb)  |  收藏  |  浏览/下载:198/49  |  提交时间:2022/01/06
Biomimetic robot  flexible flipper  hydrodynamic model  underwater vehicle-manipulator system  
Geolocation Error Estimation and Correction on Long-Term MWRI Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 11, 页码: 9448-9461
作者:  Liu, Jiazheng;  Li, Weifu;  Peng, Jiangtao;  Shen, Lijun;  Han, Hua;  Zhang, Peng;  Yang, Lei
Adobe PDF(8747Kb)  |  收藏  |  浏览/下载:204/1  |  提交时间:2021/12/28
Geology  Sea surface  Satellites  Earth  Instruments  Satellite broadcasting  Microwave radiometry  Geolocation error estimation and correction  Micro-Wave Radiation Imager (MWRI)  nonrigid point set registration  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载:197/1  |  提交时间:2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning