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This paper surveys task allocation and scheduling methods in robotic network systems, focusing on optimizing performance, resource management, and energy use. It categorizes existing literature into architectures, methods, and parameters, while highlighting the role of cloud, fog, and edge computing. The authors identify challenges such as scalability and real-time adaptability, proposing future research directions to enhance the integration of these technologies in dynamic environments.

Author

shoaib6174

Language

EN