Digital technologies and artificial intelligence (AI) solutions are growing and changing rapidly and staying at the top are increasingly complicated. Presently, a rapid transformation occurs in advanced manufacturing, the world of innovation, and mass adoption. Robots become even more crucial as now, because they can be connected to the human mind through the machine/brain interface as AI evolves. A significant need to enhance productivity from the manufacturing sector provides the world economy with punishing challenges. The paper addresses the problem in real-world industry applications of the enforcement of an autonomous industrial mobile robot, in all such areas, namely communication, scheduling, mobile robot technology, and planning. The robot-assisted mixed-integer programming model (RA-MIPM) has been proposed for finding the optimal solution for the problem. This paper deals with the issue of the sequence of optimum feeding in a cell with feeders fed by a mobile manipulation arm robot. The efficiency criteria are to reduce the robot’s cumulative travel time in a particular program horizon. Besides, the robot must be designed for production lines to operate within the cell without a lack of feed components.

数字技术和人工智能（AI）解决方案正在迅速发展和变化，保持领先地位越来越复杂。当前，先进制造，创新世界和大规模采用正在发生快速转变。如今，机器人变得更加重要，因为随着AI的发展，它们可以通过机器/大脑接口连接到人的大脑。迫切需要提高制造业的生产率，这给世界经济带来了严峻的挑战。本文解决了在现实世界的工业应用中，在所有这些领域（即通信，调度，移动机器人技术和计划）中实施自动工业移动机器人的问题。已经提出了机器人辅助的混合整数编程模型（RA-MIPM），以找到该问题的最佳解决方案。本文讨论了由移动操纵臂机器人给料的单元中最佳给料顺序的问题。效率标准是为了减少机器人在特定程序范围内的累积行进时间。此外，该机器人必须设计成能够在生产单元内运行的生产线而没有饲料组件。