How humans continuously adapt while walking stably
Research could help improve motor rehabilitation programs and assistive robot control.
Research could help improve motor rehabilitation programs and assistive robot control.
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.
MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.
Physician and engineer Giovanni Traverso found an early passion for molecular genetics, leading to an interdisciplinary career helping others.
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.
A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Mechatronics combines electrical and mechanical engineering, but above all else it’s about design.
Professor Ellen Roche is creating the next generation of medical devices to help repair hearts, lungs, and other tissues.
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
These zinc-air batteries, smaller than a grain of sand, could help miniscule robots sense and respond to their environment.
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.