Part Assembly

3D part assembly research focuses on autonomously assembling individual components into a complete 3D structure, without pre-defined instructions. Current approaches leverage generative models, often employing transformer networks or message-passing architectures, to predict part poses and relationships, sometimes incorporating physics simulation and hierarchical representations to improve accuracy and efficiency. This field is significant for advancing robotics and 3D computer vision, enabling more sophisticated automation in manufacturing, furniture assembly, and other applications requiring complex manipulation of objects.