Chemical gas dispersion can represent a severe threat to human and animal lives, as well the environment. Constructing map of distribution in fast reliable manner is critical ensure accurate monitoring at-risk facilities coordinate targeted swift rescue missions when an emergency occurs. In recent years, robots have been endowed with sensing capabilities, several algorithms generate maps studie...

This thesis is concerned with autonomous navigation of a robotic vehicle in a semi-structured environment. Starting from the low-level problem of range sensing and moving on to more complex tasks like spatial representation, registration and mapping, path planning and following, this dissertation aims at providing a consistent picture of an autonomous navigation system. A unifying concept throu...

in this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses ferguson splines and pso (particle swarm optimization). the objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. ferguson splines create preliminary paths using random generated para...

Path planning and crowd simulation are important computational tasks in computer games and applications of high social relevance, such as crowd management and safety training. Virtual characters (agents) need to autonomously find a path from their current position to a designated goal position. This is usually solved by running the A* algorithm on a grid or a navigation mesh. However, in many m...

A post-hoc cognitive strategies visualization tool for operators in command and control environments, TRACS (Tracking Resource Allocation Cognitive Strategies) captures the critical steps performed in solving a resource allocation problem like those typically encountered in mission planning and replanning. TRACS presents a human operator’s cognitive strategies in a twodimensional space, using a...

While the current part carries the title “path planning” the contributions in this section covers two topics: mapping and planning. In some sense one might argues that intelligent (autonomous) mapping actually requires path planning. While this is correct the contributions actually have a broader scope as is outlined below. A common theme to all of the presentations in this section is the adopt...