Recurrent neural network with self-adaptive GAs for biped locomotion robot.
Toshio FukudaYouichirou KomataTakemasa ArakawaPublished in: ICNN (1997)
Keyphrases
- recurrent neural networks
- humanoid robot
- biped walking
- mobile robot
- rough terrain
- legged robots
- robotic systems
- control parameters
- robot control
- legged locomotion
- stability margin
- central pattern generator
- biped robot
- robot motion
- neural network
- robot moves
- genetic algorithm
- human robot interaction
- long short term memory
- autonomous robots
- complex valued
- hidden layer
- degrees of freedom
- feed forward
- reservoir computing
- inverted pendulum
- motion planning
- recurrent networks
- echo state networks
- feedforward neural networks
- biologically inspired
- multi modal
- multi robot
- control strategy
- quadruped robot
- autonomous navigation
- interval type fuzzy
- path planning
- artificial neural networks
- machine learning
- real robot
- nonlinear dynamic systems
- training data