Due to the benefits of cost-efficiency, high flexibility, and multi-functionality of the industrial robot, robot machining has drawn a lot of study interest during the last decade. CNC machines are currently widely used in machining and other applications. Modern companies rely primarily on robots, which may be used for various tasks such as material processing and welding. The equipment, technique, and force sensing are used in this article to undertake robotic grinding and fettling of an engine case for process time reduction. For the grinding and fettling process, we employ an articulated robot with an adaptive pole placement controller created and evaluated using computer simulation. To take robot machining technology to the next level, allowing for more practical and competitive solutions. Future studies should concentrate on robot machining efficiency analysis, robotic arm optimization planning, and machining robot line scheduling. The future trends and critical aspects of automated machining are recognized after this study. © 2022 Elsevier B.V., All rights reserved.