DARPA Subterranean Challenge: Multi-robotic Exploration of Underground Environments. - Tomás Roucek; Martin Pecka; Petr Cízek; Tomás Petrícek 002; Jan Bayer; Vojtech Salanský; Daniel Hert; Matej Petrlík; Tomás Báca; Vojtech Spurný; François Pomerleau; Vladimir Kubelka; et al. (MESAS, 2019)

Robust Image Alignment for Outdoor Teach-and-Repeat Navigation. - George Broughton; Pavel Linder; Tomás Roucek; Tomás Vintr; Tomás Krajník (ECMR, 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 001; Tomás Krajník (Robotics Auton. Syst., 2021)

Performance Comparison of Visual Teach and Repeat Systems for Mobile Robots. - Maxim Simon; George Broughton; Tomás Roucek; Zdenek Rozsypálek; Tomás Krajník (MESAS, 2022)

Semi-supervised learning for image alignment in teach and repeat navigation. - Zdenek Rozsypálek; George Broughton; Pavel Linder; Tomás Roucek; Keerthy Kusumam; Tomás Krajník (SAC, 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 001; Tomás Krajník (Frontiers Robotics AI, 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 035; Zhi Yan 001; 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)

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)

System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge. - Tomás Roucek; Martin Pecka; Petr Cízek; Tomás Petrícek 002; Jan Bayer; Vojtech Salanský; Teymur Azayev; Daniel Hert; Matej Petrlík; Tomás Báca; Vojtech Spurný; Vít Krátký; et al. (Field Robotics, 2022)

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; et al. (ICM, 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., 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., 2023)

Effective Searching for the Honeybee Queen in a Living Colony. - Jan Blaha; Jan Mikula; Tomás Vintr; Jirí Janota; Jirí Ulrich; Tomás Roucek; Fatemeh Rekabi Bana; Laurenz Alexander Fedotoff; Martin Stefanec; Thomas Schmickl; Farshad Arvin; Miroslav Kulich; et al. (CASE, 2024)

Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies. - Jan Blaha; Tomás Vintr; Jan Mikula; Jirí Janota; Tomás Roucek; Jirí Ulrich; Fatemeh Rekabi Bana; Laurenz Alexander Fedotoff; Martin Stefanec; Thomas Schmickl; Farshad Arvin; Miroslav Kulich; et al. (IROS, 2024)

Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots. - Jirí Ulrich; Martin Stefanec; Fatemeh Rekabi Bana; Laurenz A. Fedotoff; Tomás Roucek; Bilal Y. Gündeger; Mahmood Saadat; Jan Blaha; Jirí Janota; Daniel Nicolas Hofstadler; Kristina Zampachu; Erhan Ege Keyvan; et al. (Sci. Robotics, 2024)

Predictive Data Acquisition for Lifelong Visual Teach, Repeat and Learn. - Tomás Roucek; Zdenek Rozsypálek; Jan Blaha; Jirí Ulrich; Tomás Krajník (IEEE Robotics Autom. Lett., 2024)