The paper proposes the design of mechanical components of the device for fully automated rehabilitation of elbow post intra-articular fractures further refered as the act [...]

Mobile robot localization based on active artificial landmarks is well established robust technique in indoor mobile robotics. This paper explores the extension of the me [...]

Standard algorithm of Q-Learning is limited by discrete states and actions and Qfunction is u sually represented as discrete table. To avoid this obstacle and extend the [...]

The paper compares global and local approximation methods used for walking robot stability model. Global approximators are represented by feedforward multilayer neural ne [...]

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 [...]