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

1 code implementation • IEEE ROBOTICS AND AUTOMATION LETTERS, 2023 • Zdeněk Rozsypálek, Tomáš Rouček, Tomáš Vintr, Tomáš Krajník

Particle filters are usually used in VT&R to fuse data from odometry and camera to estimate the distance traveled along the path.

Navigate Position +1

Contrastive Learning for Image Registration in Visual Teach and Repeat Navigation

1 code implementation • MDPI Sensors 2022 • Zdeněk Rozsypálek, George Broughton, Pavel Linder, Tomáš Rouček, Jan Blaha, Leonard Mentzl, Keerthy Kusumam, Tomáš Krajník

Visual teach and repeat navigation (VT&R) is popular in robotics thanks to its simplicity and versatility.

Contrastive Learning Image Registration +2

Federated Reinforcement Learning for Collective Navigation of Robotic Swarms

no code implementations • 2 Feb 2022 • Seongin Na, Tomáš Rouček, Jiří Ulrich, Jan Pikman, Tomáš Krajník, Barry Lennox, Farshad Arvin

The recent advancement of Deep Reinforcement Learning (DRL) contributed to robotics by allowing automatic controller design.

Federated Learning reinforcement-learning +1

Artificial Intelligence for Long-Term Robot Autonomy: A Survey

no code implementations • 13 Jul 2018 • Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomáš Krajník

Autonomous systems will play an essential role in many applications across diverse domains including space, marine, air, field, road, and service robotics.