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中国科学院沈阳自动化研究所机构知识库
Knowledge Management System of Shenyang Institute of Automation, CAS
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水下机器人研究室 [7]
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沈阳自动化所 [4]
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Terrain matching localization for hybrid underwater vehicle in the Challenger Deep of the Mariana Trench
期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2020, 卷号: 21, 期号: 5, 页码: 749-759
Authors:
Wang J(王健)
;
Tang YG(唐元贵)
;
Chen CX(陈传绪)
;
Li JX(李吉旭)
;
Chen C(陈聪)
;
Zhang AQ(张艾群)
;
Li YP(李一平)
;
Li S(李硕)
Adobe PDF(776Kb)
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View/Download:125/34
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Submit date:2020/06/13
Hybrid underwater vehicle
Full-ocean depth
Challenger Deep
Mariana Trench
Terrain contour matching
TP242
6
TP273
Design and development of autonomous robotic fish for object detection and tracking
期刊论文
International Journal of Advanced Robotic Systems, 2020, 卷号: 17, 期号: 3, 页码: 1-11
Authors:
Ji DX(冀大雄)
;
Rehman, Faizan ur
;
Ajwad, Syed Ali
;
Shahani, K.
;
Sharma, Sanjay
;
Sutton, Robert
;
Li S(李硕)
;
Ye, Zhangying
;
Zhu, Hua
;
Zhu, Shiqiang
Adobe PDF(1457Kb)
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View/Download:41/8
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Submit date:2020/06/13
Robotic fish
underwater vehicle
object detection and tracking
CFD analysis
Learning mobile manipulation through deep reinforcement learning
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 3, 页码: 1-18
Authors:
Wang C(王聪)
;
Zhang QF(张奇峰)
;
Tian QY(田启岩)
;
Li S(李硕)
;
Wang XH(王晓辉)
;
Lane, David
;
Petillot, Yvan
;
Wang, Sen
Adobe PDF(26225Kb)
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Submit date:2020/03/01
mobile manipulation
deep reinforcement learning
deep learning
Underwater Loop-Closure Detection for Mechanical Scanning Imaging Sonar by Filtering the Similarity Matrix With Probability Hypothesis Density Filter
期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 166614-166628
Authors:
Jiang M(蒋敏)
;
Song SM(宋三明)
;
Herrmann, J. Michael
;
Li, Jihong
;
Li YP(李一平)
;
Hu ZQ(胡志强)
;
Li ZG(李智刚)
;
Liu J(刘健)
;
Li S(李硕)
;
Feng XS(封锡盛)
Adobe PDF(2141Kb)
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View/Download:193/37
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Submit date:2019/12/22
Forward-looking sonar
intensity projection histogram
PHD lter
polar gradient matrix
underwater loop-closure detection
A physics-based simulation for AUV underwater docking using the MHDG method and a discretized propeller
期刊论文
Ocean Engineering, 2019, 卷号: 187, 页码: 1-12
Authors:
Wu LH(吴利红)
;
Li YP(李一平)
;
Liu KZ(刘开周)
;
Wang SW(王诗文)
;
Ai XF(艾晓锋)
;
Li S(李硕)
;
Feng XS(封锡盛)
Adobe PDF(4124Kb)
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View/Download:165/33
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Submit date:2019/08/04
AUV underwater docking
Self-propulsion
Discretized propeller
Dynamic mesh
Physics-based simulation
Field-observation for an anticyclonic mesoscale eddy consisted of twelve gliders and sixty-two expendable probes in the northern South China Sea during summer 2017
期刊论文
Science China Earth Sciences, 2019, 卷号: 62, 期号: 2, 页码: 451-458
Authors:
Shu YQ(舒业强)
;
Chen J(陈举)
;
Li S(李硕)
;
Wang Q(王强)
;
Yu JC(俞建成)
;
Wang DX(王东晓)
Adobe PDF(10765Kb)
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Submit date:2018/09/30
Anticyclonic mesoscale eddy
Glider
northern South China Sea
Command filter based globally stable adaptive neural control for cooperative path following of multiple underactuated autonomous underwater vehicles with partial knowledge of the reference speed
期刊论文
Neurocomputing, 2018, 卷号: 275, 页码: 1478-1489
Authors:
Wang H(王昊)
;
Liu KZ(刘开周)
;
Li S(李硕)
Adobe PDF(1272Kb)
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View/Download:456/71
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Submit date:2017/12/02
Cooperative Path Following
Uncertainties
Autonomous Underwater Vehicles
Neural Networks
A Novel Case of Practical Exponential Observer Using Extended Kalman Filter
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 58004-58011
Authors:
Ji DX(冀大雄)
;
Deng, Zhi
;
Li S(李硕)
;
Ma, Dongfang
;
Wang, Tao
;
Song W(宋伟)
;
Zhu, Shiqiang
;
Wang, Zhi
;
Pan, Hongjun
;
Sharma, Sanjay
;
Yang, Xu
Adobe PDF(4205Kb)
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Submit date:2018/11/18
Discrete-time nonlinear system
extended Kalman filter
exponential observer
restrictions
spectral norm
Current trends in the development of intelligent unmanned autonomous systems
期刊论文
Frontiers of Information Technology and Electronic Engineering, 2017, 卷号: 18, 期号: 1, 页码: 68-85
Authors:
Zhang T(张涛)
;
Li Q(李清)
;
Zhang ZS(张长水)
;
Liang HW(梁华为)
;
Li P(李平)
;
Wang TM(王田苗)
;
Li S(李硕)
;
Zhu YL(朱云龙)
;
Wu C(吴澄)
Adobe PDF(813Kb)
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View/Download:983/374
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Submit date:2017/02/18
Intelligent Unmanned Autonomous System
Autonomous Vehicle
Artificial Intelligence
Robotics
Development Trend
Extraction of visual texture features of seabed sediments using an SVDD approach
期刊论文
OCEAN ENGINEERING, 2017, 卷号: 142, 页码: 501-506
Authors:
Li Y(李岩)
;
Liu SJ(刘世杰)
;
Zhu PQ(祝普强)
;
Yu JC(俞建成)
;
Li S(李硕)
Adobe PDF(606Kb)
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Submit date:2017/10/09
Support Vector Domain Description
Classification Of Seabed Sediments
Texture Features Analysis
Perception Of Seabed Environment
Gray-level Co-occurrence Matrix
Self-organizing Map