Physics-Informed Recurrent Neural Networks for Soft Pneumatic Actuators.
Wentao SunNozomi AkashiYasuo KuniyoshiKohei NakajimaPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- recurrent neural networks
- degrees of freedom
- control system
- feed forward
- complex valued
- neural network
- computer science
- artificial neural networks
- echo state networks
- pose estimation
- neural model
- long short term memory
- motion planning
- reservoir computing
- cascade correlation
- feedforward neural networks
- recurrent networks
- hidden layer
- hebbian learning
- mathematical model
- artificial intelligence
- force control
- control scheme
- active control
- nonlinear dynamic systems
- input output
- shape memory alloy