Lidar odometry survey: recent advancements and remaining challenges

D Lee, M Jung, W Yang, A Kim - Intelligent Service Robotics, 2024 - Springer
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 …

Overview of multi-robot collaborative SLAM from the perspective of data fusion

W Chen, X Wang, S Gao, G Shang, C Zhou, Z Li, C Xu… - Machines, 2023 - mdpi.com
In the face of large-scale environmental map** requirements, through the use of
lightweight and inexpensive robot groups to perceive the environment, the multi-robot …

Hilti-oxford dataset: A millimeter-accurate benchmark for simultaneous localization and map**

L Zhang, M Helmberger, LFT Fu, D Wisth… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Simultaneous Localization and Map** (SLAM) is being deployed in real-world
applications, however many state-of-the-art solutions still struggle in many common …

A survey on the autonomous exploration of confined subterranean spaces: Perspectives from real-word and industrial robotic deployments

H Azpúrua, M Saboia, GM Freitas, L Clark… - Robotics and …, 2023 - Elsevier
Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

Humanoid parkour learning

Z Zhuang, S Yao, H Zhao - ar**
TM Nguyen, D Duberg, P Jensfelt… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
While feature association to a global map has significant benefits, to keep the computations
from growing exponentially, most lidar-based odometry and map** methods opt to …