
Want to 3D Print a Walking Robot? Just Ask Your Computer.
Researchers have developed a platform called Text2Robot that leverages generative AI to design and deliver functional robots with just a few spoken words.
Tomorrow’s technologies will be built on foundations laid today in mechanical engineering and materials science. Duke’s Thomas Lord Department of Mechanical Engineering & Materials Science works to enable a better tomorrow by transcending the traditional definitions of these fields. By harnessing AI to develop complex computational modeling abilities, next-generation automation controllers and materials with comic-book-like properties, Duke MEMS is helping tackle the world’s grandest challenges. Our vibrant community encourages students to work on these projects with esteemed faculty, engaging in critical projects from day one.
Our 300 undergraduate and graduate students are studying exciting areas of mechanical engineering and materials science, including energy, aerospace, soft matter, biomedical applications, scientific modeling and computing, and reliable autonomous technology.
Researchers have developed a platform called Text2Robot that leverages generative AI to design and deliver functional robots with just a few spoken words.
Just over 10 years since first breaking into the top 30, Duke Engineering’s graduate program continues to climb amongst its peers.
Boyuan Chen and his team have developed a platform called CREW that is used to create algorithms to optimize human-AI cooperation.