Our research focuses on robotic hardware and algorithms, from sensing to control to perception to manipulation.
Latest news in robotics
With a new design, the bug-sized bot was able to fly 100 times longer than prior versions.
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
As the Director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Rus leads over 1,700 researchers in pioneering innovations to advance computing and improve global well-being.
MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI’s potential for creating robotics training data.
Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.