Assistive technologies (AT) enable people with disabilities to perform activities of daily living
more independently, have greater access to community and healthcare services, and be …

Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

An estimated 11% of adults report experiencing some form of cognitive decline, which may
be associated with conditions such as stroke or dementia and can impact their memory …

The coexistence of robots and humans in shared physical and social spaces is expected to
increase. A key enabler of high-quality interaction is a mutual understanding of each other's …

This work presents a survey on the usage of user-adaptive techniques for human interface
with Social Robots, with focus on non-physical interaction. The work is based on an analysis …

This paper explores a framework for defining artificial intelligence (AI) that adapts to
individuals within a group, and discusses the technical challenges for collaborative AI …

Our ultimate goal is to build robust policies for robots that assist people. What makes this
hard is that people can behave unexpectedly at test time, potentially interacting with the …

As human–robot collaboration increases tremendously in real-world applications, a fully
autonomous and reliable mobile robot for the collaboration has been a central research …

We present a novel approach for learning a finite mixture model on a Riemannian manifold
in which Euclidean metrics are not applicable and one needs to resort to geodesic distances …

Manipulating unknown objects in a cluttered environment is difficult because segmentation
of the scene into objects, that is, object composition, is uncertain. Due to the uncertainty …