Write an article about These robots assemble Lego, helped by a dedicated AI model which gives them instructions to follow. (Carnegie Mellon University pic)
PARIS: A team of artificial intelligence researchers at Carnegie Mellon University, US, recently unveiled LegoGPT, a system capable of generating construction models using the famous little bricks, from simple text descriptions. AI helps with the design, while robotic arms build them.
LegoGPT is the result of a collaboration between experts in machine learning and robotics. Their aim was to create a tool for transforming text-based instructions into buildable and stable Lego models, for hobbyists and professionals alike.
The system is based on a language model trained on a vast dataset of over 47,000 Lego structures, combined with highly detailed descriptions. When a query is entered, LegoGPT predicts the addition of each brick in sequence, ensuring that the structure remains physically stable at each stage.
The aim is to offer a multipurpose tool, useful in both education and design, enabling a project to be designed from a simple text query.
Although LegoGPT is still in its infancy, the researchers have made their code and database available, enabling any interested person or entity to explore and use their tool. Details and resources are available on the project’s official website.
LegoGPT is part of a wider trend of AI-powered tools for designing Lego constructions. Other projects already well advanced include BrickCenter, a free online platform that uses AI to generate custom Lego models from text descriptions, and Brickit, a mobile application that scans available Lego bricks to suggest feasible constructions.
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These robots assemble Lego, helped by a dedicated AI model which gives them instructions to follow. (Carnegie Mellon University pic)
PARIS: A team of artificial intelligence researchers at Carnegie Mellon University, US, recently unveiled LegoGPT, a system capable of generating construction models using the famous little bricks, from simple text descriptions. AI helps with the design, while robotic arms build them.
LegoGPT is the result of a collaboration between experts in machine learning and robotics. Their aim was to create a tool for transforming text-based instructions into buildable and stable Lego models, for hobbyists and professionals alike.
The system is based on a language model trained on a vast dataset of over 47,000 Lego structures, combined with highly detailed descriptions. When a query is entered, LegoGPT predicts the addition of each brick in sequence, ensuring that the structure remains physically stable at each stage.
The aim is to offer a multipurpose tool, useful in both education and design, enabling a project to be designed from a simple text query.
Although LegoGPT is still in its infancy, the researchers have made their code and database available, enabling any interested person or entity to explore and use their tool. Details and resources are available on the project’s official website.
LegoGPT is part of a wider trend of AI-powered tools for designing Lego constructions. Other projects already well advanced include BrickCenter, a free online platform that uses AI to generate custom Lego models from text descriptions, and Brickit, a mobile application that scans available Lego bricks to suggest feasible constructions.
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