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Jan Chudoba

dblp:99/1781 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2013
0000-0002-5421-0375ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Artificial intelligence
1 paper
Legged, aerial and field robots · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › localization algorithms
relative positioning
0.212013
Low-cost embedded system for relative localization in robotic swarms · ICRA 2013
Embedded and real-time systems › real-time embedded systems › multimedia embedded systems
embedded vision system
0.212013
Low-cost embedded system for relative localization in robotic swarms · ICRA 2013
Robotics › Legged, aerial and field robots
aerial robots
0.012013
Low-cost embedded system for relative localization in robotic swarms · ICRA 2013
Robotics › Legged, aerial and field robots › aerial robots › UAV swarm
micro aerial vehicle swarm
0.012013
Low-cost embedded system for relative localization in robotic swarms · ICRA 2013

Methods — techniques the papers use, named apart from their topics

roundel detection · 0.5image processing · 0.5
YearPublicationVenuePosition
2013 Low-cost embedded system for relative localization in robotic swarms
abstract
In this paper, we present a small, light-weight, low-cost, fast and reliable system designed to satisfy requirements of relative localization within a swarm of micro aerial vehicles. The core of the proposed solution is based on off-the-shelf components consisting of the Caspa camera module and Gumstix Overo board accompanied by a developed efficient image processing method for detecting black and white circular patterns. Although the idea of the roundel recognition is simple, the developed system exhibits reliable and fast estimation of the relative position of the pattern up to 30 fps using the full resolution of the Caspa camera. Thus, the system is suited to meet requirements for a vision based stabilization of the robotic swarm. The intent of this paper is to present the developed system as an enabling technology for various robotic tasks.
Jan Faigl, Tomás Krajník, Jan Chudoba, Libor Preucil, Martin Saska
ICRA3
2012 User's Access to the Robotic e-Learning System - SyRoTek
Miroslav Kulich, Karel Kosnar, Jan Chudoba, Ondrej Fiser, Libor Preucil
CSEDU (1)3
2011 A Technical Solution of a Robotic e-Learning System in the SyRoTek Project
Jan Chudoba, Jan Faigl, Miroslav Kulich, Tomás Krajník, Karel Kosnar, Libor Preucil
CSEDU (1)1
2009 SyRoTek - On an e-Learning System for Mobile Robotics and Artificial Intelligence
Miroslav Kulich, Jan Faigl, Karel Kosnar, Libor Preucil, Jan Chudoba
ICAART5
2006 A Control System for Multi-Robotic Communities
abstract
This paper describes a design, development and experience with an universal multi-robotic robot control system. The overall message-driven system concept is introduced together with its open modular architecture. Besides the description of functionalities of basic modules, the approach to the system configuration and hardware abstraction layer is discussed. The control system allows to manage different types of robots in one team, whereas each team member is able to share and interchange any information with other team members. Since a lot of robotic tasks are computationally intensive and cannot be computed onboard, the system allows to distribute selected subtasks among remote computers. The system has been designed as a test-bed for research of new algorithms from an area of cooperative robotics.
Jan Chudoba, Libor Preucil, Roman Mázl
ETFA1