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This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning under uncertainty, sensor-based planning, visibility, decision-theoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning.

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requirement for successful vehicle recovery and meaningful data collection. Classical inertial sensors, usually used for AUV motion estimation, suffer from large drift error. On the other hand, accurate inertial sensors are very expensive which limits their deployment to costly AUVs. Furthermore, acoustic

realistic data fusion problems. In the third part, an X ray computed tomography (CT) image reconstruction problem using two different kind of data has been considered. First, we considered the case where these data are the classical X-rays radiographic data and ultrasound echo-graphic data and analyzed

This thesis investigates the impact of the pragmatic situation on surface generation. It presents new surface generation techniques that improve on both aspects of surface generation: (1) lexical choice, which consists of choosing words and their associated syntactic structures and (2) syntactic realization, which consists of combining these partial structures into grammatical sentences. Because surface generation depends directly on aspects of the pragmatic situation, these new techniques allow a purely conceptual input to be expressed by a greater variety of linguistic forms and with more sensitivity to pragmatic factors than was previously possible. Specifically, this research focuses on the impact on lexical choice of one part of the pragmatic situation: the speaker’s argumentative intent, i.e., the goal of the speaker to convince the hearer of a certain conclusion. The argumentative intent can be realized by a variety of evaluative expressions appearing at various ranks in the syntactic structure. This thesis describes the selection of four classes of evaluative expressions: judgment

In this paper, we consider an X ray computed tomography (CT) image reconstruction problem using two different kinds of data: classical X-rays radiographic data and some geometrical informations coming from anatomical atlas and propose new methods based on Bayesian estimation approach for this data

and the parameters of the Markovian prior. For the estimation step, we use an iterative technique which combines a maximum likelihood approach (for noise model parameters) with a least-squares method (for MRF-based prior). In order to model more precisely the local and global characteristics of image content

k získání akademického titulu doktor v oboru Informatika a výpočetní technika

From the Editor-In-Chief With this inaugural issue, ISIF introduces JAIF as its flagship journal. JAIF is a peerreviewed journal that...