This paper addresses the challenges of insufficient alignment accuracy and low automation in the assembly of Gas-Insulated Switchgear (GIS) disconnecting switches by developing an adaptive conductor-controlled assembly scheme. This scheme incorporates a 3D vision system, six-component force sensor, and fuzzy inference rules. Firstly, based on the 3D point cloud scanning technology, the conductor position is located and the parts are grasped and placed at the target position; secondly, the alignment detection data is read in real time by the six-component force sensor placed at the end of the robotic arm and compensated by gravity; lastly, the detection data of the six-component force sensor is taken as the input parameter of the fuzzy controller, and the process data of bolt tightening is obtained through fuzzy reasoning, which can be dynamically adjusted in real time with the working conditions. The experimental results show that the equipment can achieve an alignment accuracy of ±0.05 mm, and the assembly beat is shortened to less than 3 min, which provides a new solution for the installation and maintenance of GIS equipment.