For implementing efficient cooperative behaviour strategies of a group of robots an appropriate communication system is needed. Depending on the robot’s task different communication techniques may be used. We have analyzed an ultrasonic detection and communication system, a communication technique that uses infrared transmitters and receivers and a radio based system using Bluetooth technology....

A model that is consistent with several neurophysiological properties of biological headdirection cells is presented. The dynamics of the system is primarily controlled by idiothetic signals which determine the direction selectivity property. By means of LTP correlation learning, allothetic cues are incorporated to stabilize the direction representation over time. The interaction between alloth...

background& aim: substance abuse is associated with high prevalence of psychiatric disorders including mood disorders (especially depression), personality disorders and psychosis. the purpose of this study was to investigate the effect of methadone and its result on substance induced depression-symptoms among iv drug abusers of kashan prison in 1384. method & materials: this is a semi-experimen...

A computer language is a very general form of representing and specifying an autonomous agent's behavior. The task of planning feasible actions could then simply be reduced to an instance of automatic programming. We have evaluated the use of an evolutionary technique for automatic programming called Genetic Programming (GP) to directly control a miniature robot. To our knowledge, this is the r...

The objective of this paper is to devise a vision-based control scheme for the Khepera-II robot to achieve efficient object tracking using fuzzy logic. The robot is equipped with a K2D video turret. The algorithm was verified in simulation study by the Webots simulator using a colored ball as the sample object. Pattern recognition was not performed hence the algorithm can be used for tracking t...

This project investigates the evolution in simulation of robot controllers capable of performing a hard task, playing football, in the real world. It is argued that for any reasonably interesting task, robot controllers are too di cult to design, and that an evolutionary methodology must be employed. It is further argued that evolution in the real world is too slow for such a task, and that evo...

Habituation is a form of non-associative learning observed in a variety of species of animals. Arguably, it is the simplest form of learning. Nonetheless, the ability to habituate to certain stimuli implies plastic neural systems and adaptive behaviors. This article describes how computational models of habituation can be applied to real robots. In particular, we discuss the problem of the osci...

Internal representations of the environment are often invoked to explain performance in tasks in which an organism must make a detour around an obstacle to reach a target and the organism can lose sight of the target along the path to the target. By simulating a detour task in evolving populations of robots (Khepera) we show that neural networks with memory units perform better than networks wi...