Evolutionary Learning of a Fuzzy Behavior Based Controller for a Nonholonomic Mobile Robot in a Class of Dynamic Environments.
D. P. Thrishantha NanayakkaraKeigo WatanabeKazuo KiguchiKiyotaka IzumiPublished in: J. Intell. Robotic Syst. (2001)
Keyphrases
- mobile robot
- dynamic environments
- evolutionary learning
- motion control
- path planning
- robot control
- collision avoidance
- control architecture
- autonomous agents
- adaptive control
- trajectory tracking control
- robotic systems
- obstacle avoidance
- autonomous navigation
- fuzzy controller
- cooperative behavior
- indoor environments
- sensory information
- variable structure
- autonomous robots
- mobile robotics
- fuzzy logic
- evolutionary computation
- sliding mode
- changing environment
- potential field
- fuzzy systems
- trajectory planning
- multi robot
- fuzzy sets
- unknown environments
- simultaneous localization and mapping
- real environment
- fuzzy logic controller
- motion planning
- real time
- neural network
- agent systems
- nonlinear systems
- fuzzy neural network
- fuzzy control
- control algorithm
- closed loop
- computational intelligence
- evolutionary algorithm
- real robot
- control law
- fuzzy rules
- highly dynamic environments