In 2021, the AI-Robot Challenge, a competition to assemble furniture using AI and robots, took place at COEX in Seoul, Korea. This event focused on using AI technology to recognize IKEA's Stefan chair and generate an assembly sequence for robots to follow. Our team employed Faster-RCNN (Faster-region-based convolutional neural networks) and MORAN (multi-object rectified attention network) technologies to recognize the assembly instructions. By interpreting these instructions with a connection relationship tree, we were able to create a precise assembly sequence. Once the sequence was ready, we utilized three cooperative robots equipped with multi-finger grippers and a transformable station to carry out the assembly task. These robots performed the assembly with advanced postural control techniques. Out of the four participating teams, we were proud to win the competition together with the Korea Institute of Industrial Technology (KITECH) and the Korea Electronics Technology Institute (KETI). This achievement highlighted our innovative approach and technical expertise in the field of AI-driven robotics.