The possible method of walking policy obtaining of four-legged robot through Q-learning is discussed in the contribution. Q-learning is implemented using architecture rep [...]

This paper presents discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. The [...]

This paper describes the design of the frame and power system of autonomous mobile robot intended to operate as an information portal, or an electronic hostess for indoor [...]

Abstrakt: One of the main requests in engineering practice is to have an effective design procedure of a reinforced concrete continuous beam. This task is a multidimensio [...]

Abstrakt: The procedure based on a traditional genetic algorithm (GA) is demonstrated on the price optimization of a vibrating block foundation. Unbalanced rotating mass [...]

Linear guiding of machine tools is a very important design element. It can be made as a straight linear guiding or as a curved type, either with the limited stroke length [...]

The problems of analysis, modelling and simulation of drive systems are solved on Institute of Mechanics of Solids for over 20 years. During that time period not only the [...]

Abstrakt: The long-term behaviour of a crystalline rock has been modelled as a viscoplastic problem. The Perzyna type of material models, which is based on socalled overs [...]

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 [...]

The present technological trends in area of microelectronics and sensorics allow a rapid research and develop in many application regions. One of the regions is the resea [...]

Today the drive system is considered mainly as interactive system containing a range of subsystems with different physical nature: mechanical – the basic ones, electric [...]

Smart construction systems have been used for centuries in many places around the world, masonry is widely encountered in numerous heritage structures to be restored. For [...]

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 [...]

The leg design is described in the contribution. Some possibilities of leg control and requirements related to both sensor system of the leg and complete robot are assign [...]

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 [...]

In this paper the authors presents the use of global optimization techniques as a viable tool for parametric model-based damage detection especially the application of ge [...]

Control design of rotating shaft levitated by active magnetic bearing is described in this contribution. Genetic algorithm is used to design controller parameters. Depend [...]

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 [...]

In deep vertical shafts, it is not possible to use common engineering measurement techniques like e. g. traversing. Therefore the transfer of geodetic networks consists o [...]

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 [...]

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 aim of the robot path planning is searching for a path from a start to a goal position without collisions with known obstacles minimizing length, difficulty and risk [...]

In this paper, we deal with mobile robot path planning in a twodimensional continuous space in which known static polygonal obstacles are defined. The aim of the path pla [...]

The aim of the paper is to propose an integration of a genetic algorithm and case-based reasoning in robot motion planning in a partially known dynamic environment. The g [...]