Robots that have different forms and capabilities are used in a wide variety of situations;
however, one common point to all robots interacting with humans is their ability to …

Research at the intersection of robots and dance promises to create vehicles for expression
that enable new creative pursuits and allow robots to function better, especially in human …

People employ expressive behaviors to effectively communicate and coordinate their
actions with others, such as nodding to acknowledge a person glancing at them or saying" …

We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot
Interaction (HRI), which establishes a bi-directional communication between human agents …

Our goal is to enable robots to perform functional tasks in emotive ways, be it in response to
their users' emotional states, or expressive of their confidence levels. Prior work has …

We propose a method for modifying affective robot movements using neural networks.
Social robots use gestures and other movements to express their internal states. However, a …

Many mobile robotics applications require robots to navigate around humans who may
interpret the robot's motion in terms of social attitudes and intentions. It is essential to …

Abstract Neural Style Transfer (NST) was originally proposed to use feature extraction
capabilities of Neural Networks as a way to perform Style Transfer with images. Pre-trained …

Research in biomechanics hypothesizes that human motion is optimal with respect to an
unknown cost function that varies depending on the action and/or task. This unknown cost …

The advent of large language models (LLMs) has sparked significant interest in using
natural language for preference learning. However, existing methods often suffer from high …