Using methods from robotics and machine learning, our group aims to increase household efficiency, extend device functionality, and, ultimately, enrich home life.
Skin cancer is the most prevalent cancer in America, and the 2nd leading cause of lost life years in our society. In collaboration with Stanford Dermatology, our team is creating a deep-learning based vision system for the automated classification and tracking of your skin at home.
Similar to Google Inbox's latest automatic email reply feature, we are working on using the latest in sequence-to-sequence AI to predict individualized responses to email that integrate with multiple modalities.
Many internal cancers go undetected due to a lack of symptoms in early stages. Pancreatic cancer, for instance, is largely asymptomatic until it is terminal. Using AI we are developing techniques for the 3D reconstruction, detection, and tracking of internal growths over time, in the hopes of providing an at-home method for the monitoring of cancers.
Autonomous Driving |
Zoox |
Robotic Segbot |
Robotic Mine Mapping |
CMU Navigation Toolkit |
Mine Exploration |
Helicopter Mapping |
The Robotic Walker!
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