Navigation control of mobile robots using graph neural network and reinforcement learning with fuzzy reward.
Feng ZhangChengbin XuanHak-Keung LamShun-Hung TsaiPublished in: iFUZZY (2022)
Keyphrases
- reinforcement learning
- mobile robot
- neural network
- robot control
- control problems
- obstacle avoidance
- indoor environments
- adaptive fuzzy
- fuzzy logic
- autonomous vehicles
- control policy
- autonomous robots
- optimal control
- topological map
- path planning
- autonomous navigation
- unknown environments
- motion control
- fuzzy logic controller
- cerebellar model articulation controller
- fuzzy systems
- fuzzy sets
- hybrid intelligent
- inverted pendulum
- robotic systems
- fuzzy neural network
- control system
- outdoor environments
- membership functions
- adaptive control
- robot behavior
- robot navigation
- adaptive neural
- adaptive resonance theory
- action selection
- optimal policy
- learning capabilities
- markov decision processes
- machine learning
- learning algorithm
- state space
- back propagation
- fuzzy rules
- control strategy
- function approximation
- control algorithm
- control method
- fuzzy controller
- reinforcement learning algorithms
- average reward
- potential field
- function approximators
- fuzzy inference system
- model free
- variable structure
- temporal difference
- initially unknown
- underwater vehicles
- agent learns
- eligibility traces