197 citations · 326 across the 13 of their papers we have counts for
15 papers
Predictive and adaptive maps for long-term visual navigation in changing environments
Lucie Halodova, Eliska Dvorakova, Filip Majer +4
In this paper, we compare different map management techniques for long-term visual navigation in changing environments. In this scenario, the navigation system needs to continuousl…
Online Context Learning for Socially Compliant Navigation
Iaroslav Okunevich, Alexandre Lombard, Tomas Krajnik +2
Robot social navigation needs to adapt to different human factors and environmental contexts. However, since these factors and contexts are difficult to predict and cannot be exhau…
LIDAR-based Stabilization, Navigation and Localization for UAVs Operating in Dark Indoor Environments
Matěj Petrl\' ik, Tom\' aš Krajn\' ik, Martin Saska
Autonomous operation of UAVs in a closed environment requires precise and reliable pose estimate that can stabilize the UAV without using external localization systems such as GNSS…
Towards Long-term Autonomy: A Perspective from Robot Learning
Zhi Yan, Li Sun, Tomas Krajnik +2
In the future, service robots are expected to be able to operate autonomously for long periods of time without human intervention. Many work striving for this goal have been emergi…
3D ToF LiDAR in Mobile Robotics: A Review
Tao Yang, You Li, Cheng Zhao +5
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has grown rapidly. Based on our accumulation of relevant research, this article systematically r…
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na, Tomáš Rouček, Jiří Ulrich +4
The recent advancement of Deep Reinforcement Learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach f…
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
Tomáš Rouček, Martin Pecka, Petr Čížek +19
We present a field report of CTU-CRAS-NORLAB team from the Subterranean Challenge (SubT) organised by the Defense Advanced Research Projects Agency (DARPA). The contest seeks to ad…
Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios
Kshitij Jindal, Anthony Wang, Dinesh Thakur +7
Autonomous mobile robots have the potential to solve missions that are either too complex or dangerous to be accomplished by humans. In this paper, we address the design and autono…
Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment
Petr Stibinger, George Broughton, Filip Majer +8
Mobile manipulators have the potential to revolutionize modern agriculture, logistics and manufacturing. In this work, we present the design of a ground-based mobile manipulator fo…
EU Long-term Dataset with Multiple Sensors for Autonomous Driving
Zhi Yan, Li Sun, Tomas Krajnik +1
The field of autonomous driving has grown tremendously over the past few years, along with the rapid progress in sensor technology. One of the major purposes of using sensors is to…
Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
Arash S. Amjadi, Mohsen Raoufi, Ali E. Turgut +3
Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find t…
Warped Hypertime Representations for Long-term Autonomy of Mobile Robots
Tomas Krajnik, Tomas Vintr, Sergi Molina +3
This paper presents a novel method for introducing time into discrete and continuous spatial representations used in mobile robotics, by modelling long-term, pseudo-periodic variat…
Artificial Intelligence for Long-Term Robot Autonomy: A Survey
Lars Kunze, Nick Hawes, Tom Duckett +2
Autonomous systems will play an essential role in many applications across diverse domains including space, marine, air, field, road, and service robotics. They will assist us in o…
Navigation without localisation: reliable teach and repeat based on the convergence theorem
Tomas Krajnik, Filip Majer, Lucie Halodova +1
We present a novel concept for teach-and-repeat visual navigation. The proposed concept is based on a mathematical model, which indicates that in teach-and-repeat navigation scenar…
The STRANDS Project: Long-Term Autonomy in Everyday Environments
Nick Hawes, Chris Burbridge, Ferdian Jovan +30
Thanks to the efforts of the robotics and autonomous systems community, robots are becoming ever more capable. There is also an increasing demand from end-users for autonomous serv…