Wireless and Solar-Powered Multipurpose Robot for Industrial Automation: A Sustainable Solution

Abstract

The pressure on today's factories to boost output is becoming steadily stronger. Automation of mundane tasks that wear people out is necessary to reach the new productivity heights. Self-driving mobile robots have been shown to increase output in a variety of material-handling, transportation, manipulation, and packaging tasks. When many mobile robots are used for these purposes, the question of how to divide up the work becomes more complicated. System efficiency might be enhanced by effectively assigning the robots to the job. The term "Multi-Robot Task Allocation" (MRTA) refers to the challenge of figuring out how to distribute work among several robots. Multiple robots must work together to complete the task under consideration in this study. Optimal utilisation of the robots is crucial to the success of the job completion. When multiple goals must be met at once, optimising the tasks assigned to these robots is essential. This study discovers how to optimise the distribution of work among several robots while satisfying multiple objectives at once.