In general today’s planetary exploration robots do not travel beyond the previous day’s imagery. However, advances in autonomous mobility will soon permit single-command site surveys of multiple kilometers. Robots will allocate time and energy resources to characterize large areas from scientific observations. They must navigate and collect data autonomously since scientists cannot see the expl...

Today’s planetary exploration robots rarely travel beyond the yesterday imagery. However, advances in autonomous mobility will soon permit single-command site surveys of multiple kilometers. Here scientists cannot see the terrain in advance, and explorer robots must navigate and collect data autonomously. Onboard science data understanding can improve these surveys with image analysis, pattern ...

We present a new approach for remote exploration by autonomous surface robots. In our method the agent synthesizes in situ measurements with remote sensing data to learn a multi-scale model of the explored environment. This intelligent map predicts the information value of candidate observations to guide adaptive navigation and sampling decisions. The agent learns map parameters on the fly, mod...

for dissemination) In this document, we make a survey of the relations between Web scale reasoning and various reasoning approaches which have been developed in computer science, artificial intelligence, logics, cognitive science and other relevant areas. The investigated reasoning approaches are: approximate reasoning, resource bounded reasoning, rule-based reasoning, contextual and modular re...

A multiscale meshfree particle method is developed, which includes recent advances in SPH and other meshfree research efforts. Key features will include linear consistency, stability, and both local and global conservation properties. In addition, through the incorporation of Reproducing Kernal Particle Method(RKPM), standard moving least squares (MLS) enhancement and wavelet techniques, the me...

Our research area is planning under uncertainty, that is, making sequences of decisions in the face of imperfect information. We are particularly concerned with developing planning algorithms that perform well in large, real-world domains. This paper is a brief introduction to this area of research, which draws upon results from operations research (Markov decision processes), machine learning ...

Objective: There are not enough good instruments for assessing driving behavior in Iran. This study aimed to investigate factor structure, convergent and divergent validity, and reliability of driving behavior survey (DBS). Methods: The study method is descriptive and survey. Participants comprised 147 Sample selected by convenient method. Iranian drivers who completed DBS, Manc...

introduction: knowledge management is one of the most important implements for organization's success in data age and competition situations. nowadays, the notability (importance) of subject is to the extent that some of the organizations measure their available knowledge and reflect these measurements in reports as organization's mental investment and as an index for organization's classificat...

conclusions twenty years after the original survey, the knowledge and beliefs regarding tmds among experts in this field have not changed significantly. results thirty-four dentists but only three psychologists responded to the survey. therefore only responses from dentists were used in the analysis. overall there was a high level of agreement between the original sample and the current sample....