Tomás Roucek

According to our database, Tomás Roucek authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Federated Reinforcement Learning for Collective Navigation of Robotic Swarms.

Seongin Na, Tomás Roucek, Jirí Ulrich, Jan Pikman, Tomás Krajník, Barry Lennox, Farshad Arvin

IEEE Trans. Cogn. Dev. Syst., December, 2023

Multidimensional Particle Filter for Long-Term Visual Teach and Repeat in Changing Environments.

Zdenek Rozsypálek, Tomás Roucek, Tomás Vintr, Tomás Krajník

IEEE Robotics Autom. Lett., April, 2023

Mechatronic Design for Multi Robots-Insect Swarms Interactions.

Fatemeh Rekabi Bana, Martin Stefanec, Jirí Ulrich, Erhan Ege Keyvan, Tomás Roucek, George Broughton, Bilal Y. Gündeger, Ömer Sahin, Ali Emre Turgut, Erol Sahin, Tomás Krajník, Thomas Schmickl, Farshad Arvin

Proceedings of the IEEE International Conference on Mechatronics, 2023

2022

System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge.

Tomás Roucek, Martin Pecka, Petr Cízek, Tomás Petrícek, Jan Bayer, Vojtech Salanský, Teymur Azayev, Daniel Hert, Matej Petrlík, Tomás Báca, Vojtech Spurný, Vít Krátký, Pavel Petrácek, Dominic Baril, Maxime Vaidis, Vladimír Kubelka, François Pomerleau, Jan Faigl, Karel Zimmermann, Martin Saska, Tomás Svoboda, Tomás Krajník

Field Robotics, March, 2022

Contrastive Learning for Image Registration in Visual Teach and Repeat Navigation.

Zdenek Rozsypálek, George Broughton, Pavel Linder, Tomás Roucek, Jan Blaha, Leonard Mentzl, Keerthy Kusumam, Tomás Krajník

Sensors, 2022

Self-Supervised Robust Feature Matching Pipeline for Teach and Repeat Navigation.

Tomás Roucek, Arash Sadeghi Amjadi, Zdenek Rozsypálek, George Broughton, Jan Blaha, Keerthy Kusumam, Tomás Krajník

Sensors, 2022

Embedding Weather Simulation in Auto-Labelling Pipelines Improves Vehicle Detection in Adverse Conditions.

George Broughton, Jirí Janota, Jan Blaha, Tomás Roucek, Maxim Simon, Tomás Vintr, Tao Yang, Zhi Yan, Tomás Krajník

Sensors, 2022

Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation.

Tomás Vintr, Jan Blaha, Martin Rektoris, Jirí Ulrich, Tomás Roucek, George Broughton, Zhi Yan, Tomás Krajník

Frontiers Robotics AI, 2022

Semi-supervised learning for image alignment in teach and repeat navigation.

Zdenek Rozsypálek, George Broughton, Pavel Linder, Tomás Roucek, Keerthy Kusumam, Tomás Krajník

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Performance Comparison of Visual Teach and Repeat Systems for Mobile Robots.

Maxim Simon, George Broughton, Tomás Roucek, Zdenek Rozsypálek, Tomás Krajník

Proceedings of the Modelling and Simulation for Autonomous Systems, 2022

2021

Learning to see through the haze: Multi-sensor learning-fusion System for Vulnerable Traffic Participant Detection in Fog.

George Broughton, Filip Majer, Tomás Roucek, Yassine Ruichek, Zhi Yan, Tomás Krajník

Robotics Auton. Syst., 2021

Robust Image Alignment for Outdoor Teach-and-Repeat Navigation.

George Broughton, Pavel Linder, Tomás Roucek, Tomás Vintr, Tomás Krajník

Proceedings of the 10th European Conference on Mobile Robots, 2021

2019

DARPA Subterranean Challenge: Multi-robotic Exploration of Underground Environments.

Tomás Roucek, Martin Pecka, Petr Cízek, Tomás Petrícek, Jan Bayer, Vojtech Salanský, Daniel Hert, Matej Petrlík, Tomás Báca, Vojtech Spurný, François Pomerleau, Vladimir Kubelka, Jan Faigl, Karel Zimmermann, Martin Saska, Tomás Svoboda, Tomás Krajník

Proceedings of the Modelling and Simulation for Autonomous Systems, 2019