In this paper, we present our experience in developing behavior-based autonomous agents. We focus on methodological aspects of what we call Behavior Engineering, a new branch of engineering whose aim is to design and implement behavior-based agents. Once defined a behavior, we have to decide whether to implement it by programming the agent, or to make the agent learning its behavior. In this pa...

Abstract: The path planning and obstacle avoidance are the most important tasks for an autonomous mobile robot moving in an unknown environment. This paper presents a simple fuzzy logic controller which involves searching target and path planning with obstacle avoidance. In this contest, fuzzy logic controllers are constructed for target searching behavior and obstacle avoidance behavior based ...

Behavior based architecture is widely used in mobile robot because it makes the robot response faster. If robot only works to achieve simple task, it can use some primitive behaviors. However, when the task is getting more complex, the behavior coordination is needed. In order to construct this coordinator, fuzzy logic can be applied as Fuzzy Behavior Coordinator (FBC). By using FBC, it can be ...

In this paper we introduce a neural network implementation of fuzzy mathematical morphology operators and apply it to image denoising. Using a supervised training method and differentiable equivalent representations for the fuzzy morphological operators, we derive efficient adaptation algorithms to optimize the structuring elements. We can then design fuzzy morphological filters for processing ...

Understand the behavior of Fuzzy Rule-based Systems (FRBSs) at inference level is a complex task that allows the designer to produce simpler and powerful systems. The fuzzy inference-grams –known as fingrams– establish a novel and mighty tool for understanding the structure and behavior of fuzzy systems. Fingrams represent FRBSs as social networks made of nodes representing fuzzy rules and edge...

This article extends the Wilcoxon signed rank test for testing whether the median of a population is a specified constant by treating the observations as imprecise values. The test procedure is developed by using the concepts of “Credibility Theory” for studying the behavior of fuzzy phenomena. Numerical illustration of the proposed test is provided by representing the observations as trapezoid...

In this paper fuzzy controllers are designed for FACTS devices in interconnected power systems. Two typical FACTS devices, STATCOM and UPFC, are used as examples to show that FACTS devices with well designed fuzzy controllers can improve interconnected power system dynamic behavior significantly.

This paper introduces the notion of fuzzy process as a formalism for the idea of fuzzy contact between a device and its environment. The notions of absolute correctness and relative correctness are defined. In order to work with concurrency it has been built an approach to manipulate the interactive processes as a single process and the resulted behavior has been observed.

Automatic control has been always playing an essential part in the development of industrial processes and technologies in areas like manufacturing, power processing and distribution, communications, transportation, etc. In modern applications, the requirement on the performance of control systems increased considerably. Over a broad range of operating conditions, most processes exhibit strongl...

In this paper, the concepts of car maneuvers, fuzzy logic control (FLC), and sensor-based behaviors are merged to implement the human-like driving skills by an autonomous car-like mobile robot (CLMR). Four kinds of FLCs, fuzzy wall-following control, fuzzy corner control, fuzzy garage-parking control, and fuzzy parallel-parking control, are synthesized to accomplish the autonomous fuzzy behavio...