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J. Liu
Mechanical Engineering
,
Learning & Autonomous Control
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Dive into the research topics where J. Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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INIS
neural networks
100%
robots
100%
modeling
66%
applications
66%
investigations
50%
physics
50%
control
50%
dynamics
50%
lagrangian
50%
engineering
50%
regulations
50%
prediction
33%
Keyphrases
Physics-informed Neural Networks
50%
Control Robot
50%
Soft Robot Modeling
50%
Lagrangian
50%
Dynamic Model
50%
Deep Neural Network
50%
Robot Base
50%
Attention-enhanced
50%
Emergent Awareness
50%
Modeling Approach
25%
Model Sensitivity
25%
Lagrangian Model
25%
Attention Mechanism
25%
Sensitivity to Change
25%
Engineering
Models
100%
Soft Robot
62%
Robot Control
50%
Theoretical Investigation
50%
Experimental Investigation
50%
Deep Neural Network
50%
Prediction
37%
Deep Learning
25%
Robot
25%
Mechanisms
25%
