Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey

M Afrin, J Jin, A Rahman, A Rahman… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …

[HTML][HTML] A comprehensive survey of recent trends in cloud robotics architectures and applications

O Saha, P Dasgupta - Robotics, 2018 - mdpi.com
Cloud robotics has recently emerged as a collaborative technology between cloud
computing and service robotics enabled through progress in wireless networking, large …

Multi-objective resource allocation for edge cloud based robotic workflow in smart factory

M Afrin, J Jin, A Rahman, YC Tian, A Kulkarni - Future generation computer …, 2019 - Elsevier
Multi-robotic services are widely used to enhance the efficiency of Industry 4.0 applications
including emergency management in smart factory. The workflow of these robotic services …

Mobility-aware task offloading and migration schemes in fog computing networks

D Wang, Z Liu, X Wang, Y Lan - IEEE Access, 2019 - ieeexplore.ieee.org
Fog computing is an extension of cloud computing, which emphasizes distributed computing
and provides computing service closer to user equipments (UEs). However, due to the …

[HTML][HTML] Application of decision-making methods in smart city projects: a systematic literature review

G Tran Thi Hoang, L Dupont, M Camargo - Smart Cities, 2019 - mdpi.com
In the current era, Smart City projects have to deal with big social, ecological, and
technological challenges such as digitalization, pollution, democratic aspirations, more …

[HTML][HTML] Deepbrain: Experimental evaluation of cloud-based computation offloading and edge computing in the internet-of-drones for deep learning applications

A Koubâa, A Ammar, M Alahdab, A Kanhouch, AT Azar - Sensors, 2020 - mdpi.com
Unmanned Aerial Vehicles (UAVs) have been very effective in collecting aerial images data
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …

A deep reinforcement learning-based dynamic computational offloading method for cloud robotics

M Penmetcha, BC Min - IEEE Access, 2021 - ieeexplore.ieee.org
Robots come with a variety of computing capabilities, and running computationally-intense
applications on robots is sometimes challenging on account of limited onboard computing …

Energy-efficient optimal task offloading in cloud networked multi-robot systems

A Rahman, J Jin, A Rahman, A Cricenti, M Afrin… - Computer Networks, 2019 - Elsevier
Task offloading plays a critical role in cloud networked multi-robot systems for leveraging
computation support from cloud infrastructure and benefiting greatly from the well-developed …

Cloud-based robotic system for crowd control in smart cities using hybrid intelligent generic algorithm

K Manikanda Kumaran, M Chinnadurai - Journal of Ambient Intelligence …, 2020 - Springer
In recent years, cloud robotics in smart cities emerged with the technology of cloud
computing and robotic enabled services such as ubiquitous computing based on internet …

Loosely coupled cloud robotic framework for QoS-driven resource allocation-based Web service composition

Y Xie, Y Guo, Z Mi, Y Yang… - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Cloud robotics leverages the ubiquitous cloud infrastructure including networks, storage,
servers, and services to enable robots to access unlimited resources. Most of the recent …