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The work presented in this paper deals with the problem of the navigation of a mobile robot either in unknown indoor environment or in a partially known one. A navigation method in an unknown environment based on the combination of elementary behaviors has been developed. Most of these behaviors are achieved by means of fuzzy inference systems. The proposed(More)
The results of the first Critical Assessment of Fully Automated Structure Prediction (CAFASP-1) are presented. The objective was to evaluate the success rates of fully automatic web servers for fold recognition which are available to the community. This study was based on the targets used in the third meeting on the Critical Assessment of Techniques for(More)
SUMMARY Most of the motion controls of the mobile robots are based on the classical scheme planning-navigation-piloting. The navigation function the main part of which consists in obstacle avoidance, has to react with the shortest response time. The real time constraint hardly limits the complexity of sensor data processing. The described navigator is built(More)
Statistical learning methods select the model that statistically best fit the data , given a cost function. In this case , learning means finding out a set of internal parameters of the model that minimize (or maximize) the cost function. As an example of such a procedure , reinforcement learning techniques (RLT) may be used in robotics to find the best(More)