The localization and path planning problem belong to basic tasks in navigation of mobile robots. Markov localization seems to be a good way to successful localization. Ho [...]

The paper is focused on increasing the speed of rapidly exploring random trees method, used for path planning tasks. Original method uses single tree running from the ini [...]

Robot localization and path planning belong to actual problems in robotics. Markov localization seems to be currently the most promising localization method in known envi [...]

Q-learning is the most popular and effective version of Reinforcement Learning algorithms. In this paper we discuss the possibility of control of a nonstationary system b [...]

There are several randomized methods for problem of path planning. Rapidly exploring random trees (RRT) is a method which can deal with constraints typical for legged wal [...]

Localization of the robot is a task of estimating robot position in known environment from sensor observation. The paper describes basic principles of Markov localization [...]

Presented paper deals with Concurrent Mapping and Localization as a method to build the local map for the autonomous mobile robot. Building accurate local map is necessar [...]

Motion planning is essential for mobile robot successful navigation. There are many algorithms for motion planning under various constraints. However, in some cases the h [...]

The paper presents both hardware and software means used to develop a scalable low/middle level control system for the autonomous mobile robot Advee. Brief description of [...]