Abstract: switchgear disconnectors. To solve these problems，an adaptive admittance-controlled assembly method integrating 3D vision guidance，six-degree-of-freedom force sensing，and fuzzy inference rules is proposed. First，3D point cloud scanning technology is used to achieve precise positioning, grasping，and placement of the conductors. Second，a gravity-compensated six-axis force sensor mounted at the end of the robotic arm is used to collect real-time contact force data during the alignment and assembly process. Finally，the force sensing data are used as input parameters for a fuzzy controller, which adaptively outputs bolt-tightening process parameters to achieve assembly control that dynamically adjusts according to operating conditions. Experimental results demonstrate that the system achieves spatial alignment accuracy of ±0.5 mm，reduces the assembly cycle time to less than 5 minutes，and integrates assembly，inspection，and adjustment，thereby effectively improving assembly efficiency.