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20172025
most citedAn Integrated Approach to Goal Selection in Mobile Robot Exploration

22 citations · 51 across the 15 of their papers we have counts for

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14 papers · 1 filter

cs.RO2022

Self-Stabilizing Self-Assembly

M. Jílek, K. Stránská, M. Somr +3

The emerging field of passive macro-scale tile-based self-assembly (TBSA) shows promise in enabling effective manufacturing processes by harnessing TBSA's intrinsic parallelism. Ho…

cs.RO2020★ 3 cited

Push, Stop, and Replan: An Application of Pebble Motion on Graphs to Planning in Automated Warehouses

Miroslav Kulich, Tomáš Novák, Libor Přeucil

The pebble-motion on graphs is a subcategory of multi-agent pathfinding problems dealing with moving multiple pebble-like objects from a node to a node in a graph with a constraint…

cs.RO2020★ 22 cited

An Integrated Approach to Goal Selection in Mobile Robot Exploration

Miroslav Kulich, Jiří Kubalík, Libor Přeučil

This paper deals with the problem of autonomous navigation of a mobile robot in an unknown 2D environment to fully explore the environment as efficiently as possible. We assume a t…

cs.RO2020

Modelling, Simulation, and Planning for the MoleMOD System

Michaela Brejchová, Miroslav Kulich, Jan Petrš +1

MoleMOD is a heterogeneous self-reconfigurable modular robotic system to be employed in architecture and civil engineering. In this paper we present two components of the MoleMOD i…

cs.RO2020

On Randomized Searching for Multi-robot Coordination

Jakub Hvězda, Miroslav Kulich, Libor Přeučil

In this chapter, we propose a novel approach for solving the coordination of a fleet of mobile robots, which consists of finding a set of collision-free trajectories for individual…

cs.RO2020★ 3 cited

Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems

Tomislav Petković, Jakub Hvězda, Tomáš Rybecký +4

With the substantial growth of logistics businesses the need for larger and more automated warehouses increases, thus giving rise to fully robotized shop-floors with mobile robots…

cs.RO2019★ 4 cited

Sequential path planning for a formation of mobile robots with split and merge

M. Estefanía Pereyra, R. Gastón Araguás, Miroslav Kulich

An algorithm for robot formation path planning is presented in this paper. Given a map of the working environment, the algorithm finds a path for a formation taking into account po…

cs.RO2019★ 3 cited

On multi-robot search for a stationary object

Miroslav Kulich, Libor Přeučil, Juan José Miranda Bront

Two variants of multi-robot search for a stationary object in a priori known environment represented by a graph are studied in the paper. The first one is a generalization of the T…

cs.RO2019

An Integrated Approach to Autonomous Environment Modeling

Miroslav Kulich, Viktor Kozák, Libor Přeučil

In this paper, we present an integrated solution to memory-efficient environment modeling by an autonomous mobile robot equipped with a laser range-finder. Majority of nowadays app…

cs.RO2019★ 8 cited

Context-Aware Route Planning for Automated Warehouses

Jakub Hvězda, Tomáš Rybecký, Miroslav Kulich +1

In order to ensure efficient flow of goods in an automated warehouse and to guarantee its continuous distribution to/from picking stations in an effective way, decisions about whic…

cs.RO2019★ 4 cited

Path Planning for a Formation of Mobile Robots with Split and Merge

Estefanía Pereyra, Gastón Araguás, Miroslav Kulich

A novel multi-robot path planning approach is presented in this paper. Based on the standard Dijkstra, the algorithm looks for the optimal paths for a formation of robots, taking i…

cs.RO2019★ 3 cited

Improved Discrete RRT for Coordinated Multi-robot Planning

Jakub Hvězda, Miroslav Kulich, Libor Přeučil

This paper addresses the problem of coordination of a fleet of mobile robots - the problem of finding an optimal set of collision-free trajectories for individual robots in the fle…

cs.RO2017★ 1 cited

Speed-up of Self-Organizing Networks for Routing Problems in a Polygonal Domain

Miroslav Kulich, Roman Sushkov, Libor Přeučil

Routing problems are optimization problems that consider a set of goals in a graph to be visited by a vehicle (or a fleet of them) in an optimal way, while numerous constraints hav…

cs.RO2017

Practical Aspects of Autonomous Exploration with a Kinect2 sensor

Miroslav Kulich, Vojtěch Lhotský, Libor Přeučil

Exploration of an unknown environment by a mobile robot is a complex task involving solution of many fundamental problems from data processing, localization to high-level planning…