Mathematics and Computers in Simulation - Special issue from the IMACS/IFAC international symposium on soft computing methods and applications: “SOFTCOM '99” (held in Athens, Greece)
An Behavior-based Robotics
Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-Link Manipulators
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
An Adaptable Oscillator-Based Controller for Autonomous Robots
Journal of Intelligent and Robotic Systems
Dynamics and Cooperative Object Manipulation Control of Suspended Mobile Manipulators
Journal of Intelligent and Robotic Systems
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It is known that a behavior-based control approach is effective for acquiring an intelligent control system of robots. However, further improvements are required for making any behavior-based control system robust against changes in the environments. A module learning method has been applied in the framework of fuzzy behavior-based control to have an adaptive behavioral fusion. In this paper, an adaptive fusion strategy is proposed to adaptively select a cooperative fusion unit or competitive fusion unit, depending on the external sensor information. Some simulations are given to illustrate that the present control systems are flexible against the change of environments or untrained environments, compared to those with a conventional priority-based fusion unit.