scispace - formally typeset
I

Ivan Kuric

Researcher at University of Žilina

Publications -  99
Citations -  803

Ivan Kuric is an academic researcher from University of Žilina. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 14, co-authored 79 publications receiving 488 citations.

Papers
More filters
Journal ArticleDOI

Development of simulation software for mobile robot path planning within multilayer map system based on metric and topological maps

TL;DR: This article deals with methods of navigation and mapping of mobile robots in an indoor environment, for example, laboratories, building corridors, and so on, through the application of potential field method and its transformation into the topological map.
Journal ArticleDOI

Application of optimization algorithms for robot systems designing

TL;DR: The article presents the design and application of multi-software platform for solving kinematic synthesis of robot manipulator systems, and a modern theoretical and application approach for modelling coupled mechanical systems, which include mobile robots.
Journal ArticleDOI

Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks.

TL;DR: The main stages of creating a method for conducting a virtual experiment to determine the cutting force depending on the array of defining parameters obtained from experimental studies are outlined and it will make it possible to get recommendations for the formation of a valid route for crankpin machining.
Journal ArticleDOI

Case study: Performance analysis and development of robotized screwing application with integrated vision sensing system for automotive industry:

TL;DR: Development and complex performance analysis of robotized screwing application with integrated vision system in automotive industry—bolting tightening robotized station as a part of car seat assembly process and the real influence of inaccuracies during the design process and final influence of all changings on the final quality and efficiency of designed system are demonstrated.
Book ChapterDOI

Ensuring Vibration Reliability of Turbopump Units Using Artificial Neural Networks

TL;DR: The proposed methodology integrates analytical dependencies, recent techniques of numerical simulations and artificial neural networks, and allows refining parameters of the nonlinear mathematical models describing forced oscillations of the rotor as a complicated mechanical system with nonlinearities.