Design of a fuzzy controller in mobile robotics using genetic algorithms
Applied Soft Computing
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems
Expert Systems with Applications: An International Journal
People detection through quantified fuzzy temporal rules
Pattern Recognition
Modelling fuzzy quantified statements under a voting model interpretation of fuzzy sets
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Reinforcement based mobile robot navigation in dynamic environment
Robotics and Computer-Integrated Manufacturing
| Hi-index | 0.00 |
The paper describes a fuzzy control system for the avoidance of moving objects by a robot. The objects move with no type of restriction, varying their velocity and making turns. Due to the complex nature of this movement, it is necessary to realize temporal reasoning with the aim of estimating the trend of the moving object. A new paradigm of fuzzy temporal reasoning, which we call fuzzy temporal rules (FTRs), is used for this control task. The control system has over 117 rules, which reflects the complexity of the problem to be tackled. The controller has been subjected to an exhaustive validation process and examples are shown of the results obtained