Adaptive Impedance Control Based on Neural Network for Electrically-Driven Robotic Systems.
Jinzhu PengShuai DingRickey DubayPublished in: SysCon (2020)
Keyphrases
- impedance control
- robotic systems
- neural network
- manipulation tasks
- force control
- model free
- mobile robot
- control architecture
- optimal control
- artificial neural networks
- autonomous robots
- robotic manipulator
- neural network model
- vision system
- motor control
- real time
- position control
- machine learning
- bp neural network
- fuzzy logic
- fuzzy neural network
- robot navigation
- learning tasks
- back propagation
- dynamic environments
- e learning
- learning algorithm