Cloud Computing Principles for Optimizing Robot Task Offloading Processes
U. Rahamathunnisa, K. Sudhakar, Tamilarasi Kathirvel Murugan, S. Thivaharan, M. Rajkumar, Sampath Boopathi
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.