Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jan Chudoba
dblp:99/1781
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › localization algorithms
relative positioning |
0.2 | 1 | 2013 | 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 |
0.2 | 1 | 2013 | Low-cost embedded system for relative localization in robotic swarms · ICRA 2013 |
Robotics › Legged, aerial and field robots
aerial robots |
0.0 | 1 | 2013 | 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 |
0.0 | 1 | 2013 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Low-cost embedded system for relative localization in robotic swarmsabstractIn 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 |
ICRA | 3 |
| 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 |
ICAART | 5 |
| 2006 | A Control System for Multi-Robotic CommunitiesabstractThis 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 |
ETFA | 1 |