Social robots are being deployed to interact with people in various scenarios, where they
are expected to in-corporate human-like conversational strategies to achieve flu-ency in …

Human motion prediction is an essential component for enabling close-proximity human-
robot collaboration. The task of accurately predicting human motion is non-trivial and is …

The inference of 3D motion and dynamics of the human musculoskeletal system has
traditionally been solved using physics-based methods that exploit physical parameters to …

Robots are moving from working in isolation to working with humans as a part of human-
robot teams. In such situations, they are expected to work with multiple humans and need to …

As robots enter human workspaces, there is a crucial need for robots to understand and
predict human motion to achieve safe and fluent human-robot collaboration (HRC) …

While most of the research in Human-Robot Interaction (HRI) focuses on short-term
interactions, long-term interactions require bolder developments and a substantial amount of …

Robots are moving from working in isolated cham-bers to working in close-proximity with
human collaborator (s) as part of human-robot teams. In such situations, robots are …

Humans have the ability to acquire, retain and transfer knowledge over their lifespan. For
intelligent agents to achieve fluent longitudinal interaction, they need to continually retain …

Financial literacy is a critical field that prepares individuals to manage their money effectively
and to become economically self-suffcient by making informed financial decisions. As …

Online Continual Learning (OCL) empowers machine learning models to acquire new
knowledge online across a sequence of tasks. However, OCL faces a significant challenge …