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Environmental sensing in autonomous construction robots: Applicable technologies and systems
Environmental sensing is crucial for the effective operation of mobile robots, particularly on
construction sites where conditions can change rapidly. While some studies have …
construction sites where conditions can change rapidly. While some studies have …
A deep dive into cybersecurity solutions for AI-driven IoT-enabled smart cities in advanced communication networks
The integration of the Internet of Things (IoT) and artificial intelligence (AI) in urban
infrastructure, powered by advanced information communication technologies (ICT), has …
infrastructure, powered by advanced information communication technologies (ICT), has …
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future
Abstract The Internet of Vehicles (IoV) and its applications are undergoing massive
development, requiring diverse autonomous or self-directed vehicles/agents to fulfill various …
development, requiring diverse autonomous or self-directed vehicles/agents to fulfill various …
Web-based human-robot collaboration digital twin management and control system
X Liu, G Li, F ** and Navigation Perspective
Air-ground collaborative robots have shown great potential in the field of fire and rescue,
which can quickly respond to rescue needs and improve the efficiency of task execution …
which can quickly respond to rescue needs and improve the efficiency of task execution …
Optimizing healthcare data quality with optimal features driven mutual entropy gain
In the dynamic domain of healthcare data management, safeguarding sensitive information
while ensuring data efficiency is always of the highest priority. Healthcare data are …
while ensuring data efficiency is always of the highest priority. Healthcare data are …
[HTML][HTML] Multi-Sensor Fusion for Wheel-Inertial-Visual Systems Using a Fuzzification-Assisted Iterated Error State Kalman Filter
G Huang, H Huang, Y Zhai, G Tang, L Zhang, X Gao… - Sensors, 2024 - mdpi.com
This paper investigates the odometry drift problem in differential-drive indoor mobile robots
and proposes a multi-sensor fusion approach utilizing a Fuzzy Inference System (FIS) within …
and proposes a multi-sensor fusion approach utilizing a Fuzzy Inference System (FIS) within …
[HTML][HTML] Enhancing Indoor Localization Accuracy through Multiple Access Point Deployment
T Aziz, K Insoo - Electronics, 2024 - mdpi.com
This study addresses the limitations of wireless local area networks in indoor localization by
utilizing Extra-Trees Regression (ETR) to estimate locations based on received signal …
utilizing Extra-Trees Regression (ETR) to estimate locations based on received signal …
[HTML][HTML] An Adaptive and Automatic Power Supply Distribution System with Active Landmarks for Autonomous Mobile Robots
Z Li, Y Gao, M Zhu, H Tang, L Zhang - Sensors, 2024 - mdpi.com
With the development of automation and intelligent technologies, the demand for
autonomous mobile robots in the industry has surged to alleviate labor-intensive tasks and …
autonomous mobile robots in the industry has surged to alleviate labor-intensive tasks and …
[HTML][HTML] AI-based approaches for improving autonomous mobile robot localization in indoor environments: A comprehensive review
S Wang, NS Ahmad - … Science and Technology, an International Journal, 2025 - Elsevier
The adoption of indoor autonomous mobile robot (AMR) has surged significantly, driven by
their ability to integrate diverse sensors, maintain low operating costs, facilitate easy …
their ability to integrate diverse sensors, maintain low operating costs, facilitate easy …