Brick Assembly

Research on brick assembly focuses on developing algorithms and robotic systems capable of autonomously constructing structures from individual blocks, mirroring tasks like LEGO building. Current efforts concentrate on improving model architectures, such as tree-transformers and convolutional neural networks, to predict assembly sequences and handle physical constraints efficiently, often leveraging self-supervised learning and large-scale datasets for training. This research is significant for advancing artificial intelligence in areas like robotic manipulation and 3D scene understanding, with potential applications in construction automation and personalized manufacturing. Furthermore, the development of robust stability analysis methods ensures the feasibility of generated assembly plans.