Intelligent Depth Control of Underwater Robots using Artificial Neural Networks and Reinforcement Learning.
Lucas S. CadengueGabriel S. LimaWallace Moreira BessaPublished in: LARS/SBR/WRE (2020)
Keyphrases
- using artificial neural networks
- reinforcement learning
- robot control
- robotic systems
- control problems
- artificial neural networks
- optimal control
- mobile robot
- robotic control
- motion control
- learning capabilities
- underwater vehicles
- autonomous systems
- industrial robots
- robot behavior
- machine learning
- autonomous robots
- neural network model
- optimal policy
- cooperative
- action selection
- reinforcement learning algorithms
- service robots
- function approximation
- control system
- vision system
- finite element analysis
- control policy
- real robot
- control strategies
- depth map
- markov decision processes
- depth information
- underwater acoustic
- adaptive control
- learning process
- autonomous underwater vehicle
- control method