Analysis of metaheuristic optimization algorithms for resource algorithms for resource scheduling in distributed robotic control system

Abstract

Distributed Robotic Control (DRC) system poses several benefits in managing the functioning of the collection of robots. It is highly modular and supports different types of devices. Recently, distributed robotic control system finds their applicability in various real time applications like route planning, mapping, localization, etc. The distributed robotic control system involves various kinds of heterogeneous devices and it is needed to design effective techniques to handle the hardware components and configuration requirements. Besides, the satisfaction of the demands posed under distinct hardware configuration is highly a challenging process. The main objective of this research is to analyse the resource sharing techniques with different meta heuristic algorithms in distributed robotic control system. The design of controllers for robot system is complex which needs to deal with several tasks in real time for enabling the robots to function independently. The distributed robotic control system can be used in real time for resolving various challenges such as localization, motion controlling, mapping, route planning, etc. The distributed robotic control system can manage different kinds of heterogenous devices. But the design of distributed robotic control system is a challenging process due to the fact that it needs to operate effectually under different hardware configurations and varying computation requirements. For instance, scheduling of resources (such as communication channel, computation unit, robot chassis, or sensor input) to several system components becomes essential to complete the tasks. Therefore, resource scheduling is necessary for ensuring effective robotic tasks execution. newline