LiDAR odometry survey: recent advancements and remaining challenges
Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …
methods like global positioning system are unavailable. The main goal of odometry is to …
A systematic literature review on long‐term localization and mapping for mobile robots
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Mapping (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Mapping (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
A survey on global lidar localization: Challenges, advances and open problems
Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …
estimation is part of the core functionalities of mobile robots. Over the last two decades …
PyPose: A library for robot learning with physics-based optimization
Deep learning has had remarkable success in robotic perception, but its data-centric nature
suffers when it comes to generalizing to ever-changing environments. By contrast, physics …
suffers when it comes to generalizing to ever-changing environments. By contrast, physics …
X-icp: Localizability-aware lidar registration for robust localization in extreme environments
Modern robotic systems are required to operate in challenging environments, which demand
reliable localization under challenging conditions. LiDAR-based localization methods, such …
reliable localization under challenging conditions. LiDAR-based localization methods, such …
Resilient and distributed multi-robot visual slam: Datasets, experiments, and lessons learned
This paper revisits Kimera-Multi, a distributed multi-robot Simultaneous Localization and
Mapping (SLAM) system, towards the goal of deployment in the real world. In particular, this …
Mapping (SLAM) system, towards the goal of deployment in the real world. In particular, this …
Oxpecker: A tethered uav for inspection of stone-mine pillars
B Martinez Rocamora Jr, RR Lima, K Samarakoon… - Drones, 2023 - mdpi.com
This paper presents a state-of-the-art tethered unmanned aerial vehicle (TUAV) for structural
integrity assessment of underground stone mine pillars. The TUAV, powered by its tether …
integrity assessment of underground stone mine pillars. The TUAV, powered by its tether …
Implicit event-rgbd neural slam
Implicit neural SLAM has achieved remarkable progress recently. Nevertheless existing
methods face significant challenges in non-ideal scenarios such as motion blur or lighting …
methods face significant challenges in non-ideal scenarios such as motion blur or lighting …
[HTML][HTML] Cyber–physical system architecture of autonomous robot ecosystem for industrial asset monitoring
Driven by advancements in Industry 4.0, the Internet of Things (IoT), digital twins (DT), and
cyber–physical systems (CPS), there is a growing interest in the digitalizing of asset integrity …
cyber–physical systems (CPS), there is a growing interest in the digitalizing of asset integrity …
Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties
A novel approach for robust Unmanned Aerial Vehicle (UAV) altitude estimation relying on
laser measurements that is designed for use in complex indoor environments is proposed in …
laser measurements that is designed for use in complex indoor environments is proposed in …