LEGO Object

Research on LEGO objects spans diverse applications, primarily focusing on leveraging their modularity and physical nature for advancements in robotics, machine learning, and education. Current efforts involve developing novel model architectures, such as LegoNet and MM-Lego, to improve efficiency and adaptability in tasks ranging from robotic assembly and image generation to multimodal learning and theorem proving. This research contributes to democratizing access to robotics and AI, improving the efficiency of complex algorithms, and offering innovative approaches to teaching STEM concepts through hands-on learning.