Fuzzy model development of multi-linked vehicles or robots: towards intelligent control

This article proposes original methods to develop fuzzy models of backward movements and verifies its "inversibility", building the path to reach intelligent control tools, to help or even substitute human operators in complex maneuvers of multi-linked robots or vehicles. The fuzzy models and restrictions for the inverse model (critical configuration) are built interactively in an environment that generates analytical models, simulating and animating kinematical chains of robots or vehicles, performing forward or backward movements. In practical applications, an analytical model is not necessary since real data is available to build a rule base for the fuzzy model.