The problem of creating the map of an unknown environment by mobile robot control system is considered using range readings obtained by ultrasonic range finder. A grid-based representation of a robot working space is chosen. The goal is the determination of occupied and empty areas in the working environment, which is not a simple problem due the uncertainty introduced by the sensory system. Th...

The problem of building maps of the environment is one of the fundamental problems in mobile robotics. So far, the majority of research has focused on the problem of how to learn two-dimensional maps such as occupancy grids. Robots, however, operate in a three-dimensional world. Accordingly, robots that use three-dimensional maps can be expected to be more reliable and robust than those relying...

We introduce a new statistical modelling technique for building occupancy maps. The problem of mapping is addressed as a classification task where the robot’s environment is classified into regions of occupancy and free space. This is obtained by employing a modified Gaussian process as a non-parametric Bayesian learning technique to exploit the fact that realworld environments inherently posse...

Underwater obstacle detection and avoidance is essential for safe deployment of autonomous underwater vehicles (AUVs). A forwardlooking sonar is typically used to detect and localize potential obstacles. Such sensors tend to have a coarser sensor resolution and a lower signal-to-noise ratio (SNR) than electromagnetic sensors typically used for similar tasks in land-based robotics. Lack of acces...

existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. according to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amou...

Path planning systems using graph-search algorithms such as A* usually operate in uniform plan-view occupancy grids. However, the sensors used to construct these grids observe the environment in their own sample space based on sensor type and viewpoint. In this paper we present an image space technique for path planning in unknown unstructured outdoor environments. Our method differs from previ...

OBJECTIVES Our aim was to evaluate Korea's Pandemic Influenza Preparedness Plan. METHODS We conducted a sensitivity analysis on the expected number of outpatients and hospital bed occupancy, with 1,000,000 parameter combinations, in a situation of pandemic influenza, using the mathematical simulation program InfluSim. RESULTS Given the available resources in Korea, antiviral treatment and s...