Development of IoT-Based Hybrid Autonomous Networked Robots

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Technologies vol. 13, no. 5 (2025), p. 168
Egile nagusia: Habib, Maki K
Beste egile batzuk: Chukwuemeka, Chimsom I
Argitaratua:
MDPI AG
Gaiak:
Sarrera elektronikoa:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

MARC

LEADER 00000nab a2200000uu 4500
001 3212132123
003 UK-CbPIL
022 |a 2227-7080 
024 7 |a 10.3390/technologies13050168  |2 doi 
035 |a 3212132123 
045 2 |b d20250101  |b d20251231 
084 |a 231637  |2 nlm 
100 1 |a Habib, Maki K  |u Robotics, Control and Smart Systems (RCSS), School of Sciences and Engineering, American University in Cairo (AUC), New Campus, New Cairo 11835, Egypt 
245 1 |a Development of IoT-Based Hybrid Autonomous Networked Robots 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Autonomous Networked Robot (ANR) systems feature multi-robot systems (MRSs) and wireless sensor networks (WSNs). These systems help to extend coverage, maximize efficiency in data routing, and provide practical and reliable task management, among others. This article presents the development and implementation of an IoT-based hybrid ANR system integrated with different cloud platforms. The system comprises two main components: the physical hybrid ANR, the simulation development environment (SDE) with hardware in the loop (HIL), and the necessary core interfaces. Both are integrated to facilitate system component development, simulation, testing, monitoring, and validation. The operational environment (local and/or distributed) of the designed system is divided into zones, and each zone comprises static IoT-based sensor nodes (SSNs) and a mobile robot with integrated onboard IoT-based sensor nodes (O-SSNs) called the mobile robot sensor node (MRSN). Global MRSNs (G-MRSNs) navigate spaces not covered by a zone. The mobile robots navigate within/around their designated spaces and to any of their SSNs. The SSNs and the O-SSN of each zone are supported by the ZigBee protocol, forming a WSN. The MRSNs and G-MRSNs communicate their collected data from different zones to the base station (BS) through the IoT base station gateway (IoT-BSG) using wireless serial protocol. The base station analyzes and visualizes the received data through GUIs and communicates data through the IoT/cloud using the Wi-Fi protocol. The developed system is demonstrated for event detection and surveillance. Experimental results of the implemented/simulated ANR system and HIL experiments validate the performance of the developed IoT-based hybrid architecture. 
653 |a Collaboration 
653 |a Network topologies 
653 |a Hardware-in-the-loop simulation 
653 |a Communication 
653 |a Wireless sensor networks 
653 |a Nodes 
653 |a Robots 
653 |a Unmanned aerial vehicles 
653 |a Robot sensors 
653 |a Automation 
653 |a Localization 
653 |a Energy consumption 
653 |a Data collection 
653 |a Robotics 
653 |a Simulation 
653 |a Partial differential equations 
653 |a Artificial intelligence 
653 |a Digital twins 
653 |a Sensors 
653 |a Distributed control systems 
653 |a Underwater pipelines 
653 |a Algorithms 
653 |a Environmental monitoring 
653 |a Surveillance 
653 |a Multiple robots 
700 1 |a Chukwuemeka, Chimsom I  |u Robotics, Control and Smart Systems (RCSS), School of Sciences and Engineering, American University in Cairo (AUC), New Campus, New Cairo 11835, Egypt 
773 0 |t Technologies  |g vol. 13, no. 5 (2025), p. 168 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3212132123/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3212132123/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3212132123/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch