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肖 楠
医学技术学院
h-index
1903
引用
23
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2008
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(112)
相似学者
(2)
指纹图谱
深入其中 Nan Xiao 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Force Feedback
92%
Robot
79%
Experimental Result
57%
Haptics
38%
Robotic System
31%
Manipulator
30%
Medical Applications
30%
Surgical Robot
30%
Control System
29%
Remote Control
24%
Simulation Experiment
23%
System Operation
19%
Maneuverability
16%
Guidewire
16%
Navigation System
15%
Microrobots
15%
Robot System
15%
Transmissions
13%
Teleoperation
11%
Degree of Freedom
11%
Manipulation System
10%
Restoring Force
10%
Simulators
10%
Micromechanisms
10%
Obtains
10%
Viscous Force
10%
Contact Force
10%
Biomimetics
10%
Sensing System
10%
Micromanipulation
9%
Biotechnological Application
9%
Genetic Algorithm
9%
Success Rate
8%
Fuzzy Control
8%
Dynamic Performance
7%
Piezoelectric Actuator
7%
Evaluator
7%
Damage Potential
7%
Operating Procedure
7%
Force Signal
6%
Mathematical Model
6%
Sensing Device
6%
Image Processing
6%
Control Algorithm
6%
Strain Gage
6%
Delay Time
6%
Master Controller
5%
Feedback Control System
5%
Discrete Time
5%
Stribeck Friction
5%
Computer Science
Robot
100%
Invasive Surgery
46%
Manipulator
43%
Force-Feedback
34%
Operating Systems
28%
Virtual Reality
26%
Haptic Feedback
25%
Control Method
23%
Experimental Result
20%
Medical Practice
19%
Training System
14%
Visual Feedback
13%
Operating Procedure
13%
Haptic Devices
13%
Performance Evaluation
11%
Spatial Information
10%
Stereotactic Frame
10%
Transmission Time
10%
Recognition Algorithm
10%
Feature Fusion
10%
Management Information System
8%
Fuzzy Control
8%
Virtual Reality System
7%
Convolutional Neural Network
6%
force sensor
6%
tele-operation
6%
Control Algorithm
6%
Control Strategy
6%
Surgical Training
6%
Operation Mode
6%
Internet-Based Communication
6%
Image Segmentation
5%
Open Source Code
5%
Distance Function
5%
discrete-time
5%
Dynamic Equation
5%
Noise-to-Signal Ratio
5%
Delivery Mechanism
5%
Medical Equipment
5%
Clamping Force
5%
Feedback Function
5%
User Performance
5%
Visual Informations
5%
U-Net
5%
Oriented Method
5%
Expression Recognition
5%
System Identification
5%
Facial Expression
5%
Weighted Average
5%
Deep Convolutional Neural Networks
5%
