BeNet: A Parallel Process Model for Describing Autonomous Robot Brain.

Designing asynchronous parallel process networks for desirable autonomous robot behaviors

The behavior of an autonomous robot is generated by the dynamics of the interaction between the brain and the environment. The designer of the brain must describe and actualize a system that makes a desirable interaction with the contingent physical world in real time. In this paper, we propose a computational model for describing the brains of autonomous robots and an approach to integrating f...

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

A Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm

In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...

Knowledge maturing as a process model for describing software reuse

Software reuse has become a major topic in software engineering since reusing artifacts has an important effect on the cost and quality of software products. Accordingly, understanding and managing the mechanisms of software reuse is important for every organization that develops software. In this paper we describe a knowledge maturing process in software engineering and use it to analyze two c...

A Strategy Learning Model for Robot Brain