Vojtěch Vonásek

1.3k total citations
58 papers, 697 citations indexed

About

Vojtěch Vonásek is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Vojtěch Vonásek has authored 58 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 24 papers in Aerospace Engineering and 18 papers in Control and Systems Engineering. Recurrent topics in Vojtěch Vonásek's work include Robotic Path Planning Algorithms (42 papers), Robotics and Sensor-Based Localization (22 papers) and Modular Robots and Swarm Intelligence (17 papers). Vojtěch Vonásek is often cited by papers focused on Robotic Path Planning Algorithms (42 papers), Robotics and Sensor-Based Localization (22 papers) and Modular Robots and Swarm Intelligence (17 papers). Vojtěch Vonásek collaborates with scholars based in Czechia, Germany and United Kingdom. Vojtěch Vonásek's co-authors include Martin Saska, Libor Přeučil, Tomáš Krajník, Jan Faigl, Robert Pěnička, Miroslav Kulich, Giuseppe Loianno, Justin Thomas, Jan Chudoba and Vijay Kumar and has published in prestigious journals such as The International Journal of Robotics Research, Neurocomputing and Applied Soft Computing.

In The Last Decade

Vojtěch Vonásek

56 papers receiving 674 citations

Peers

Countries citing papers authored by Vojtěch Vonásek

Since Specialization

Citations

This map shows the geographic impact of Vojtěch Vonásek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vojtěch Vonásek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vojtěch Vonásek more than expected).

Fields of papers citing papers by Vojtěch Vonásek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vojtěch Vonásek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vojtěch Vonásek. The network helps show where Vojtěch Vonásek may publish in the future.

Co-authorship network of co-authors of Vojtěch Vonásek

This figure shows the co-authorship network connecting the top 25 collaborators of Vojtěch Vonásek. A scholar is included among the top collaborators of Vojtěch Vonásek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vojtěch Vonásek. Vojtěch Vonásek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Asymptotically Optimal Path Planning With an Approximation of the Omniscient Set	IEEE Robotics and Automation Letters	Jaroslav Křı́ž, Vojtěch Vonásek	2
2	FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy		Tomáš Báča, Vojtěch Vonásek et al.	0
3	KRRF: Kinodynamic Rapidly-Exploring Random Forest Algorithm for Multi-Goal Motion Planning	IEEE Robotics and Automation Letters	Vojtěch Vonásek, Robert Pěnička et al.	0
4	Model Predictive Path Integral Control for Agile Unmanned Aerial Vehicles		Robert Pěnička, Vojtěch Vonásek et al.	7
5	CTopPRM: Clustering Topological PRM for Planning Multiple Distinct Paths in 3D Environments	IEEE Robotics and Automation Letters	Robert Pěnička, Vojtěch Vonásek et al.	11
6	Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning	Journal of Intelligent & Robotic Systems	Vojtěch Vonásek, Robert Pěnička et al.	5
7	Cooperative Transport of Large Objects by a Pair of Unmanned Aerial Systems using Sampling-based Motion Planning		Vojtěch Spurný, Matěj Petrlík et al.	10
8	DockVis: Visual Analysis of Molecular Docking Data	Eurographics	Katarína Furmanová, Barbora Kozlíková et al.	1
9	Computing multiple guiding paths for sampling-based motion planning		Vojtěch Vonásek, Robert Pěnička et al.	6
10	Motion planning of 3D objects using Rapidly Exploring Random Tree guided by approximate solutions		Vojtěch Vonásek	7
11	Distributed Motion Planning for Industrial Random Bin Picking	Procedia CIRP	Vojtěch Vonásek, Jörg Krüger et al.	5
12	Increasing Diversity of Solutions in Sampling-based Path Planning		Vojtěch Vonásek, Martin Saska	1
13	A guided approach to sampling-based motion planning	Cvut DSpace (Czech Technical University)	Vojtěch Vonásek	4
14	Predictive control and stabilization of nonholonomic formations with integrated spline-path planning	Robotics and Autonomous Systems	Martin Saska, Vojtěch Spurný et al.	25
15	Fast on-board motion planning for modular robots		Vojtěch Vonásek, Martin Saska et al.	2
16	OPTIMIZATION OF MOTION PRIMITIVES FOR HIGH-LEVEL MOTION PLANNING OF MODULAR ROBOTS		Vojtěch Vonásek, O. Penc et al.	3
17	Trajectory Planning and Control for Airport Snow Sweeping by Autonomous Formations of Ploughs	Journal of Intelligent & Robotic Systems	Martin Saska, Vojtěch Vonásek et al.	11
18	Control and navigation in manoeuvres of formations of unmanned mobile vehicles	European Journal of Control	Martin Saska, Dušan M. Stipanović et al.	17
19	Low cost MAV platform AR-drone in experimental verifications of methods for vision based autonomous navigation		Martin Saska, Tomáš Krajník et al.	22
20	An application of the self-organizing map in the non-Euclidean Traveling Salesman Problem	Neurocomputing	Jan Faigl, Miroslav Kulich et al.	27

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact