In the recent decades an impressive progress was done in automation and robotic fields.
Projects such as Google driverless car with “sense and avoid” capabilities or intelligent …

A detailed survey of the available literature on path planning of Autonomous Ground Vehicle
(AGV) is conducted, including the overview of single-robot control architectures, different …

In order to enable automated driving systems on the road, several key challenges need to
be solved. One of these issues is real-time maneuver decision and trajectory planning. This …

The need for determining a path from an initial location to a target one is a crucial task in
many applications, such as virtual simulations, robotics, and computer games. Almost all of …

This paper presents a development of a novel path planning algorithm, called Generalized
Laser simulator (GLS), for solving the mobile robot path planning problem in a two …

Incremental search algorithms, such as Generalized Fringe-Retrieving A* and D* Lite, reuse
search trees from previous searches to speed up the current search and thus often find cost …

Incremental heuristic search algorithms reuse their previous search efforts whenever these
are available. As a result, they can often solve a sequence of similar planning problems …

Real-world multi-agent systems such as warehouse robots operate under significant time
constraints–in such settings, rather than spending significant amounts of time solving for …

Moving-target search, where a hunter has to catch a moving target, is an important problem
for video game developers. In our case, the hunter repeatedly moves towards the target and …

Incremental heuristic searches reuse their previous search efforts to speed up the current
search. Anytime search algorithms iteratively tune the solutions based on available search …