Goal-driven autonomous exploration through deep reinforcement learning

R Cimurs, IH Suh, JH Lee - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
In this letter, we present an autonomous navigation system for goal-driven exploration of
unknown environments through deep reinforcement learning (DRL). Points of interest (POI) …

[HTML][HTML] From perception to navigation in environments with persons: An indoor evaluation of the state of the art

C Medina Sánchez, M Zella, J Capitán, PJ Marrón - Sensors, 2022 - mdpi.com
Research in the field of social robotics is allowing service robots to operate in environments
with people. In the aim of realizing the vision of humans and robots coexisting in the same …

Robot localization and navigation using visible light positioning and SLAM fusion

W Guan, L Huang, S Wen, Z Yan… - Journal of Lightwave …, 2021 - ieeexplore.ieee.org
Visible light positioning (VLP) is a promising technology since it can provide high accuracy
indoor localization based on the existing lighting infrastructure. However, existing …

[HTML][HTML] 2d slam algorithms characterization, calibration, and comparison considering pose error, map accuracy as well as cpu and memory usage

K Trejos, L Rincón, M Bolaños, J Fallas, L Marín - Sensors, 2022 - mdpi.com
The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM
algorithm, providing strong statistical evidence, based on descriptive and inferential statistics …

[HTML][HTML] Cartographer slam method for optimization with an adaptive multi-distance scan scheduler

A Dwijotomo, MA Abdul Rahman… - Applied Sciences, 2020 - mdpi.com
This paper presents the use of Google's simultaneous localization and mapping (SLAM)
technique, namely Cartographer, and adaptive multistage distance scheduler (AMDS) to …

[HTML][HTML] A lightweight localization strategy for LiDAR-guided autonomous robots with artificial landmarks

S Wang, X Chen, G Ding, Y Li, W Xu, Q Zhao, Y Gong… - Sensors, 2021 - mdpi.com
This paper proposes and implements a lightweight,“real-time” localization system (SORLA)
with artificial landmarks (reflectors), which only uses LiDAR data for the laser odometer …

[HTML][HTML] Collaborative 3D scene reconstruction in large outdoor environments using a fleet of mobile ground robots

J Lewis, PU Lima, M Basiri - Sensors, 2022 - mdpi.com
Teams of mobile robots can be employed in many outdoor applications, such as precision
agriculture, search and rescue, and industrial inspection, allowing an efficient and robust …

Cartographer_glass: 2D graph SLAM framework using LiDAR for glass environments

L Weerakoon, GS Herr, J Blunt, M Yu… - arXiv preprint arXiv …, 2022 - arxiv.org
We study algorithms for detecting and including glass objects in an optimization-based
Simultaneous Localization and Mapping (SLAM) algorithm in this work. When LiDAR data is …

Robotic positioning for quality assurance of feature-sparse components using a depth-sensing camera

A Gilmour, W Jackson, D Zhang, G Dobie… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
In this article, a novel method for crawler positioning is presented utilizing an onboard depth-
sensing camera, which can operate in semistructured, self-similar environments, using only …

Intelligent robot for worker safety surveillance: Deep learning perception and visual navigation

MFR Lee, TW Chien - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The fatal injury rate for the construction industry is higher than the average for all industries.
Recently, researchers have shown an increased interest in occupational safety in the …