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A VAGP-Based Adaptive Kalman Filter for Force Estimation of Robot
Yanjiang Huang
, Xinyu Liu
, Jianhong Ke
, xianmin zhang
, Lixin Yang
, Yanlin Chen (Corresponding Author)
,
Chunjin Wang
, Jun Ota
Department of Industrial and Systems Engineering
The Hong Kong Polytechnic University
Research output
:
Journal article publication
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Journal article
›
Academic research
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peer-review
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Keyphrases
Variational
100%
Regression-based Method
100%
Force Measurement
100%
Adaptive Kalman Filter
100%
Gaussian Process Regression
100%
External Force
75%
Tuning Parameter
50%
Robot Dynamics
50%
Dynamic Error
50%
Highly Accurate
25%
Time Delay
25%
Least Square Method
25%
Estimation Method
25%
State-space Equations
25%
Estimation Accuracy
25%
Parameter Identification
25%
Covariance
25%
Real Robots
25%
Indirect Measurement
25%
Force Model
25%
Human-robot Interaction
25%
Robot Pose
25%
Compliance Control
25%
Unmodeled Dynamics
25%
Dimension-reduced
25%
Robot Compliance
25%
Dynamic Model Uncertainty
25%
External Force Detection
25%
Reduced Kalman Filter
25%
Computer Science
Robotics
100%
Kalman Filter
100%
Robot
40%
Estimation Accuracy
20%
Human Robot Interaction
20%
State Space
20%
Least Squares Methods
20%
Excessive Number
20%
time-delay
20%
Model Uncertainty
20%
Estimation Method
20%
Generalizability
20%
Space Equation
20%