Konstantin Kirik’s research while affiliated with Moscow Power Engineering Institute and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (2)


Figure 1: Voronoi multi-robot tessellation algorithm.
Figure 2: System architecture and shared memory.
Figure 3: Example of tessellation for three robots.
Figure 4: Results of the algorithm execution.
Figure 5: Algorithm properties versus positioning precision.

+8

Multi-robot Voronoi tessellation based area partitioning algorithm study
  • Article
  • Full-text available

August 2018

·

449 Reads

·

7 Citations

Vladimir Alexandrov

·

Konstantin Kirik

·

This article is focused on the multi-robot applied Voronoi tessellation based area partitioning algorithm operation and properties. The selection of main parameters of the algorithm is covered and explanation of the algorithm functionality is given. The subspace area equality and the operation time are taken as main measures of the algorithm operation for experiments where a dependency on the border shape and structure and a number of robots in the group are considered. The experimental data, gained during the study, is summarized mainly in a graphical way.

Download

A hardware-based modeling approach for real world collaborative multi-robot tasks DOI 10.1515/

October 2016

·

564 Reads

·

1 Citation

This article describes an implementation of a hardware-based modeling system for multi-robot collaborative tasks. Authors propose to perform a hardware-based modeling phase as an intermediate step between software simulation and implementation within a real application. In this article hardware and software architectures of the offered system as well as an application environment for collaborative multi-robot system studies are considered.

Citations (2)


... where they experimented with various world sizes, start positions and number of robots in their system. Additionally, they have proven robustness of the system in various swarm sizes and in convex shaped environments (Alexandrov et al., 2018). This work shows how the use of Voronoi tessellations can be a useful tool for separating an area in different sub areas and to allocate robots for area coverage. ...

Reference:

Wildfire detection in large-scale environments using force-based control for swarms of UAVs
Multi-robot Voronoi tessellation based area partitioning algorithm study

... Resources of the robotic group [5,6] during the operation in a closed environment are used not only for the task- solving algorithm implementation, but as well on: -conflict, collision and resolution coordination; -cooperative behavior for the multi-robot solution opti- mization. ...

A hardware-based modeling approach for real world collaborative multi-robot tasks DOI 10.1515/