Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Tomáš Krajník"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This pap
Externí odkaz:
https://doaj.org/article/bb22e4f7665e4a14bafa42820737b232
Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation
Autor:
Tomáš Vintr, Jan Blaha, Martin Rektoris, Jiří Ulrich, Tomáš Rouček, George Broughton, Zhi Yan, Tomáš Krajník
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Despite the advances in mobile robotics, the introduction of autonomous robots in human-populated environments is rather slow. One of the fundamental reasons is the acceptance of robots by people directly affected by a robot’s presence. Understandi
Externí odkaz:
https://doaj.org/article/869080ab3e8c4f16a2c741b01a3b4916
Autor:
Martin Stefanec, Daniel N. Hofstadler, Tomáš Krajník, Ali Emre Turgut, Hande Alemdar, Barry Lennox, Erol Şahin, Farshad Arvin, Thomas Schmickl
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen b
Externí odkaz:
https://doaj.org/article/1e86ea1859cd489e94ba4fd992690f91
Autor:
George Broughton, Jiří Janota, Jan Blaha, Tomáš Rouček, Maxim Simon, Tomáš Vintr, Tao Yang, Zhi Yan, Tomáš Krajník
Publikováno v:
Sensors, Vol 22, Iss 22, p 8855 (2022)
The performance of deep learning-based detection methods has made them an attractive option for robotic perception. However, their training typically requires large volumes of data containing all the various situations the robots may potentially enco
Externí odkaz:
https://doaj.org/article/58cd4283895f481381e5cd55ce98f714
Autor:
Zdeněk Rozsypálek, George Broughton, Pavel Linder, Tomáš Rouček, Jan Blaha, Leonard Mentzl, Keerthy Kusumam, Tomáš Krajník
Publikováno v:
Sensors, Vol 22, Iss 8, p 2975 (2022)
Visual teach and repeat navigation (VT&R) is popular in robotics thanks to its simplicity and versatility. It enables mobile robots equipped with a camera to traverse learned paths without the need to create globally consistent metric maps. Although
Externí odkaz:
https://doaj.org/article/20f61a9637194d73aaae1ee26a14823c
Autor:
Tomáš Rouček, Arash Sadeghi Amjadi, Zdeněk Rozsypálek, George Broughton, Jan Blaha, Keerthy Kusumam, Tomáš Krajník
Publikováno v:
Sensors, Vol 22, Iss 8, p 2836 (2022)
The performance of deep neural networks and the low costs of computational hardware has made computer vision a popular choice in many robotic systems. An attractive feature of deep-learned methods is their ability to cope with appearance changes caus
Externí odkaz:
https://doaj.org/article/da47cad95d824de3b7f31c79745dccce
Publikováno v:
ACM SIGAPP Applied Computing Review. 23:20-35
The ability to reliably determine its own position, as well as the position of surrounding objects, is crucial for any autonomous robot. While this can be achieved with a certain degree of reliability, augmenting the environment with artificial marke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc22cfd8e7757331d1b23dfcf4c1b7a5
https://doi.org/10.1145/3594264.3594266
https://doi.org/10.1145/3594264.3594266
Autor:
Fatemeh Rekabi-Bana, Martin Stefanec, Jiří Ulrich, Erhan E. Keyvan, Tomáš Rouček, George Broughton, Bilal Y. Gündeǧer, Ömer Sahin, Ali E. Turgut, Erol Şahin, Tomáš Krajník, Thomas Schmickl, Farshad Arvin
Publikováno v:
2023 IEEE International Conference on Mechatronics (ICM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18b1daeac1dc87d483cc7dbbb6a0dc2d
https://doi.org/10.1109/icm54990.2023.10102026
https://doi.org/10.1109/icm54990.2023.10102026
Publikováno v:
Modelling and Simulation for Autonomous Systems ISBN: 9783031312670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fb3ce8e89f44631df6057b897b7d3c2
https://doi.org/10.1007/978-3-031-31268-7_1
https://doi.org/10.1007/978-3-031-31268-7_1
Autor:
Kristi Žampachů, Jiří Ulrich, Tomáš Rouček, Martin Stefanec, Dominik Dvořáček, Laurenz Fedotoff, Daniel Nicolas Hofstadler, Fatemeh Rekabi-Bana, George Broughton, Farshad Arvin, Thomas Schmickl, Tomáš Krajník
Publikováno v:
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33bdcd941203cd25ab96fc21ed02a6f5
https://doi.org/10.1109/raai56146.2022.10092977
https://doi.org/10.1109/raai56146.2022.10092977