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PL
W pracy przedstawiono problem syntezy prawa sterowania modułu wspomagania nawigacji semiautonomicznego wózka inwalidzkiego w dynamicznym środowisku, w obecności pieszych. Osoba poruszająca się na wózku inwalidzkim może spotkać się ze zjawiskiem empatii ze strony osób, z którymi wchodzi w interakcje. W pracy pokazano wykorzystanie tego zjawiska do adaptacji stylu automatycznego sterowania ruchem wózka. Działanie proponowanego podejścia zweryfikowano za pomocą symulacji.
EN
The paper presents the problem of designing a navigation strategy for a semiautonomous wheelchair cruise control system, intended to help driving the wheelchair in populated, dynamical environments. The method discussed in this paper utilizes long-term, model-based environmental prediction for planning the motion of the wheelchair. Resulting navigation strategy is both human aware and acceptable for the person driving the vehicle. The adaptation mechanism was implemented and verified using simulation.
2
Content available Towards improving optimised ship weather routing
EN
The aim of the paper is to outline a project focussing on the development of a new type of ship weather routing solution with improved uncertainty handling, through better estimation of ship performance and responses to sea conditions. Ensemble forecasting is considered to take into account the uncertainty levels that are typical of operations in a stochastic environment. Increased accuracy of weather prediction is achieved through the assimilation of real-time data, measured by an on-board monitoring system. The proposed system will allow smooth integration of short-term Decision Support Systems for ship handling in dangerous or peculiar situations with long-term Decision Support Systems for weather routing. An appropriate user interface is also a critical part of the project and it will be implemented in a commercial Electronic Nautical Chart environment. A prototype of the full system will be installed and tested on a commercial vessel in regular operations and under real environmental conditions.
EN
This paper addresses the problem of navigating an autonomous vehicle using environmental dynamics prediction. The usefulness of the Game Against Nature formalism adapted to modelling environmental prediction uncertainty is discussed. The possibility of the control law synthesis on the basis of strategies against Nature is presented. The properties and effectiveness of the approach presented are verified by simulations carried out in MATLAB.
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