This work offers a discussion on how computational mechanics and physics-informed
machine learning can be integrated into the process of sensing, understanding, and …

The emergency department (ED) is a safety-critical environment in which healthcare workers
(HCWs) are overburdened, overworked, and have limited resources, especially during the …

Enabling diverse users to program robots for different applications is critical for robots to be
widely adopted. Most of the new collaborative robot manipulators come with intuitive …

Social robots have varied effectiveness when interacting with humans in different interaction
contexts. A robot programmed to escort individuals to a different location, for instance, may …

It is difficult to run long-term in-the-wild studies with mobile robots. This is partly because the
robots we, as human-robot interaction (HRI) researchers, are interested in deploying …

Ordering the selection of training data using active learning can lead to improvements in
learning efficiently from smaller corpora. We present an exploration of active learning …

Robots have the potential to improve our quality of life by performing dangerous tasks or
tasks that are otherwise difficult for humans to perform across multiple domains. For robots to …

Researchers, governments, and companies have recently begun deploying intelligent
robots into a variety of increasingly unstructured environments where they may face a broad …

The advent of artificially intelligent technologies has generated an explicit requirement to
study the semantic comprehension of perceptual and semantic world experiences. My thesis …

Robots have tremendous potential to help us in our daily lives. However, one key obstacle to
facilitating their autonomy is that they lack the ability to perceive novel, or unseen objects …