The tobacco industry is of significant importance to China’s economic development. The production of tobacco has become a key indicator of future trends. In recent years, the industry has assumed a greater role, becoming a crucial component of the means of production and a valuable human resource. The future direction of the tobacco industry, which can be conceptualised as a 'third factor', provides a valuable insight into the potential trajectory of the industry. This also provides a direction for future research. In this study, a six-autonomous robot, designated Xinsong GCR25–1800, is employed as the research subject. The forward and inverse kinematics models of the robot are constructed through the utilisation of an enhanced D-H methodology. The Monte Carlo method is employed to ascertain the collaborative workspace of the robotic arm, thereby providing a foundation for subsequent robot trajectory planning. A simulation and analysis system was developed based on the mathematical model of the robotic arm. The model was programmed in MATLAB, and the inverse kinematics solution for the robotic arm system was verified by comparing and analysing the data obtained by substituting the position. The illustrative calculation and simulation outcomes demonstrate that the proposed cigarette carton paper palletising and depalletising robot is in accordance with the specified design requirements. This research has the potential to enhance the intelligent management of cigarette factories, address the remaining limitations of fully automated packaging machines that still require manual feeding, and serve as a valuable reference for relevant units within and beyond the tobacco industry. It can drive industry-wide advancements in semi-automated and automated feeding systems for rolled package production, propel China's tobacco packaging industry towards digital and intelligent development, and significantly enhance the overall efficiency of cigarette production and packaging logistics.