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[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
S Hassani, U Dackermann, M Mousavi, J Li - Information Fusion, 2024 - Elsevier
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …
widely used recently to solve various engineering problems in logistics, manufacturing, and …
Improving navigation stack of a ros-enabled industrial autonomous mobile robot (amr) to be incorporated in a large-scale automotive production
Navigation, which is defined as determining the most convenient way to go from one point to
another and make the journey on the planned path, is indispensable for develo** a fully …
another and make the journey on the planned path, is indispensable for develo** a fully …
Comparative analysis of integrated filtering methods using UWB localization in indoor environment
R Ranjan, D Shin, Y Jung, S Kim, JH Yun, CH Kim… - Sensors, 2024 - mdpi.com
This research delves into advancing an ultra-wideband (UWB) localization system through
the integration of filtering technologies (moving average (MVG), Kalman filter (KF), extended …
the integration of filtering technologies (moving average (MVG), Kalman filter (KF), extended …
AGV robot for laser-SLAM based method testing in automated container terminal
A Yang, Y Cao, Y Liu, Q Zeng, F **u - Industrial Robot: the …, 2023 - emerald.com
Purpose Magnet spot is the primary method to develop the automated guided vehicle (AGV)
guidance system for many automated container terminals (ACT). Aiming to improve the high …
guidance system for many automated container terminals (ACT). Aiming to improve the high …
Data-Driven System Identification of a Modified Differential Drive Mobile Robot Through On-Plane Motion Tests.
M Bakirci - Electrica, 2023 - search.ebscohost.com
A set of system identification experiments are conducted for a modified differential drive
robot. A linear model was developed by performing identification experiments to verify the …
robot. A linear model was developed by performing identification experiments to verify the …
An improved bicubic interpolation SLAM algorithm based on multi-sensor fusion method for rescue robot
Y Zhang, R Li, Q Chen, D Zhi, X Wang… - … Journal of Sensor …, 2023 - inderscienceonline.com
Aimed at the problem of difficulty in constructing an environmental map accurately with high
speed and few environmental features for the rescue robot, an improved bicubic …
speed and few environmental features for the rescue robot, an improved bicubic …
[HTML][HTML] An Integration of Deep Neural Network-Based Extended Kalman Filter (DNN-EKF) Method in Ultra-Wideband (UWB) Localization for Distance Loss …
C Eang, S Lee - Sensors, 2024 - mdpi.com
This paper examines the critical role of indoor positioning for robots, with a particular focus
on small and confined spaces such as homes, warehouses, and similar environments. We …
on small and confined spaces such as homes, warehouses, and similar environments. We …
Enhancing Autonomous Navigation in GNSS-Denied Environment: Obstacle Avoidance Observability-Based Path Planning for ASLAM
S Elahian, MAA Atashgah… - Journal of Robotics and …, 2024 - journal.umy.ac.id
L-PCM: Localization and Point Cloud Registration-Based Method for Pose Calibration of Mobile Robots
D Ning, S Huang - Information, 2024 - mdpi.com
The autonomous navigation of mobile robots contains three parts: map building, global
localization, and path planning. Precise pose data directly affect the accuracy of global …
localization, and path planning. Precise pose data directly affect the accuracy of global …