Presented paper deals with a global localization of an autonomous mobile robot in indoor environment. The method is based on the application of Bayesian filter algorithm [...]

The achievable force at the end of human forearm depends on the forearm position. The actual value of this force is one of the most important variables affecting the desi [...]

This paper deals with the probabilistic model of wheel robot motion. Such probabilistic model is often used in navigation algorithms for prediction of the real position o [...]

The paper describes the high level software issues in the task of autonomous robot driving on the park pavement. The wheel robot is equipped with limited number of sensor [...]

Q-learning method proved to be usable in active magnetic bearing (AMB) control task, however the learning speed remains the main problem. Two-phase variant of the Q-learn [...]

Abstrakt: A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-Iearning algorit [...]