Reference Hub

This research has been cited in:

Article
Edge Offloading in Smart GridSmart Cities10.3390/smartcities7010028
Chapter
Convergence of Data Science-AI-Green Chemistry-Affordable MedicineHandbook of Research on AI and ML for Intelligent Machines and Systems10.4018/978-1-6684-9999-3.ch014
Chapter
Applications of Machine Learning in Education and Skill DevelopmentsFacilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI10.4018/979-8-3693-0487-7.ch002
Chapter
Structural Systems Powered by AI and Machine Learning TechnologiesThe Ethical Frontier of AI and Data Analysis10.4018/979-8-3693-2964-1.ch017
Chapter
Harnessing 6G for Consumer-Centric Business Strategies Across Electronic IndustriesAI Impacts in Digital Consumer Behavior10.4018/979-8-3693-1918-5.ch010
Chapter
Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in HealthcareAnalyzing Current Digital Healthcare Trends Using Social Networks10.4018/979-8-3693-1934-5.ch012
Chapter
Integration of Image Processing and IoT for Enhanced Patient Health CheckingHandbook of Research on Thrust Technologies’ Effect on Image Processing10.4018/978-1-6684-8618-4.ch022
Chapter
A Study on AI and Blockchain-Powered Smart Parking Models for Urban MobilityHandbook of Research on AI and ML for Intelligent Machines and Systems10.4018/978-1-6684-9999-3.ch010
Chapter
Deep Learning Techniques Revolutionizing Biomedical ApplicationsApplications of Synthetic Biology in Health, Energy, and Environment10.4018/978-1-6684-6577-6.ch004
Chapter
Synergizing Federated Learning and In-Memory ComputingDevelopments Towards Next Generation Intelligent Systems for Sustainable Development10.4018/979-8-3693-5643-2.ch004
Chapter
Implementation of the Internet of Things (IoT) in Remote HealthcareAnalyzing Current Digital Healthcare Trends Using Social Networks10.4018/979-8-3693-1934-5.ch006
Chapter
Sustainable Development Using IoT and AI Techniques for Water Utilization in AgricultureSustainable Development in AI, Blockchain, and E-Governance Applications10.4018/979-8-3693-1722-8.ch012
Chapter
Biofuel Production, Bioremediation, and the Frontier of Synthetic Cell-Free ProcessesApplications of Synthetic Biology in Health, Energy, and Environment10.4018/978-1-6684-6577-6.ch013
Chapter
Study on Harmonizing Human-Robot (Drone) CollaborationCybersecurity Issues and Challenges in the Drone Industry10.4018/979-8-3693-0774-8.ch001
Chapter
Hospital Waste Management Using Internet of Things and Deep LearningApplications of Synthetic Biology in Health, Energy, and Environment10.4018/978-1-6684-6577-6.ch015
Chapter
Assistive Robotics and Synthetic Biology in Medical ApplicationsApplications of Synthetic Biology in Health, Energy, and Environment10.4018/978-1-6684-6577-6.ch003
Chapter
Building Sustainable Smart Cities Through Cloud and Intelligent Parking SystemHandbook of Research on AI and ML for Intelligent Machines and Systems10.4018/978-1-6684-9999-3.ch009
Chapter
Water Resource Managements in Soil and Soilless Irrigation Systems Using AI TechniquesConvergence Strategies for Green Computing and Sustainable Development10.4018/979-8-3693-0338-2.ch014
Chapter
Cloud Computing and Machine Learning in the Green Power SectorAdvanced Applications in Osmotic Computing10.4018/979-8-3693-1694-8.ch009
Chapter
Artificial Intelligence (AI) and Machine Learning (ML) Technology-Driven Structural SystemsTechnological Advancements in Data Processing for Next Generation Intelligent Systems10.4018/979-8-3693-0968-1.ch009
Chapter
Balancing Innovation and Security in the CloudImproving Security, Privacy, and Trust in Cloud Computing10.4018/979-8-3693-1431-9.ch008
Chapter
Fog Computing-Based Framework and Solutions for Intelligent SystemsComputational Intelligence for Green Cloud Computing and Digital Waste Management10.4018/979-8-3693-1552-1.ch017
Chapter
Energy and Battery Management in the Era of Cloud ComputingSustainable Science and Intelligent Technologies for Societal Development10.4018/979-8-3693-1186-8.ch009
Chapter
Securing Cloud Infrastructure in IaaS and PaaS EnvironmentsImproving Security, Privacy, and Trust in Cloud Computing10.4018/979-8-3693-1431-9.ch001
Chapter
Advances in Artificial Intelligence for Image ProcessingHandbook of Research on Thrust Technologies’ Effect on Image Processing10.4018/978-1-6684-8618-4.ch006
Chapter
Green Technologies, Reducing Carbon Footprints, and Maximizing Energy Efficiency With Emerging InnovationsConvergence Strategies for Green Computing and Sustainable Development10.4018/979-8-3693-0338-2.ch005
Chapter
Cloud Solutions for Smart Parking and Traffic Control in Smart CitiesHandbook of Research on AI and ML for Intelligent Machines and Systems10.4018/978-1-6684-9999-3.ch008
Chapter
Sustainability and Optimization of Green and Lean Manufacturing Processes Using Machine Learning TechniquesCircular Economy Implementation for Sustainability in the Built Environment10.4018/978-1-6684-8238-4.ch012
Chapter
Building Sustainable Smart CitiesThe Convergence of Self-Sustaining Systems With AI and IoT10.4018/979-8-3693-1702-0.ch006
Chapter
Sustainable Advanced Techniques for Enhancing the Image ProcessFostering Cross-Industry Sustainability With Intelligent Technologies10.4018/979-8-3693-1638-2.ch022

Cloud Computing Principles for Optimizing Robot Task Offloading Processes

U. Rahamathunnisa, K. Sudhakar, Tamilarasi K. Murugan, Thivaharan S., Rajkumar M., S. Boopathi

Source Title: AI-Enabled Social Robotics in Human Care Services

ISBN13: 9781668481714|ISBN10: 1668481715|ISBN13 Softcover: 9781668481721|EISBN13: 9781668481738

DOI: 10.4018/978-1-6684-8171-4.ch007

Cite Chapter Cite Chapter

MLA

Rahamathunnisa, U., et al. "Cloud Computing Principles for Optimizing Robot Task Offloading Processes." AI-Enabled Social Robotics in Human Care Services, edited by Sandeep Kautish, et al., IGI Global, 2023, pp. 188-211. https://doi.org/10.4018/978-1-6684-8171-4.ch007

APA

Rahamathunnisa, U., Sudhakar, K., Murugan, T. K., Thivaharan S., Rajkumar M., & Boopathi, S. (2023). Cloud Computing Principles for Optimizing Robot Task Offloading Processes. In S. Kautish, N. Chaubey, S. Goyal, & P. Whig (Eds.), AI-Enabled Social Robotics in Human Care Services (pp. 188-211). IGI Global. https://doi.org/10.4018/978-1-6684-8171-4.ch007

Chicago

Rahamathunnisa, U., et al. "Cloud Computing Principles for Optimizing Robot Task Offloading Processes." In AI-Enabled Social Robotics in Human Care Services, edited by Sandeep Kautish, et al., 188-211. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-8171-4.ch007

Export Reference

Favorite

View Full Text HTML

View Full Text PDF

Abstract

In this chapter, the integration of two rapidly evolving concepts for integration of robotics and cloud computing has been illustrated. Intelligent robots should be preferred over low-cost conventional robots for dynamic and sophisticated applications, the internet, cloud computing, and artificial intelligence principles. “Task offloading” is one of the popular cloud computing techniques for extending the constrained capabilities of robots. The various task features of cloud robotics have also been explained. Literature on various optimization techniques used for task offloading (task offloading, path planning, and access points) in cloud-enhanced robots has been included. The data handling framework and genetic algorithm-based task offloading mechanism of cloud robotic systems have been illustrated. The system architecture and task-flow chart for smart city and manufacturing control applications have been graphically illustrated.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

Cloud Computing Principles for Optimizing Robot Task Offloading Processes

MLA

APA

Chicago

Export Reference

Abstract

Request Access