Adaptation

CONTACT-AI aims to transform legged robots into contact-rich explorers, where legs are used to walk but also to cautiously manipulate the environment to resolve ambiguities in visual perception and navigate unknown terrain.

Sequential Domain Adaptive Intelligent Systems focuses on domain-adaptative classification over an ordered sequence of biased samples. An example of such a sequence is medical data from hospital along a geographic path.

Domain Adaptive Pattern Recognition explores the limits of generalization for a special case of statistical learning where training data and test data are differently biased samples of some underlying data-generating distribution.