With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Social robots have evolved in diverse applications with the emergence of deep
reinforcement learning methods. However, safe and secure navigation of social robots in a …

Three-dimensional spatial packaging of interconnected systems with physical interactions
(SPI2) design plays a vital role in the functionality, operation, energy usage, and life cycle of …

The human-robot interaction community has developed many methods for robots to navigate
safely and socially alongside humans. However, experimental procedures to evaluate these …

Mobile robots struggle to integrate seamlessly in crowded environments such as pedestrian
scenes, often disrupting human activity. One obstacle preventing their smooth integration is …

Despite recent progress in trajectory planning for multiple robots and a single tethered robot,
trajectory planning for multiple tethered robots to reach their individual targets without …

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) …

State-of-the-art social robot navigation algorithms often lack a thorough experimental
validation in human environments: simulated evaluations are often conducted under …

Intent-expressive robot motion has been shown to result in increased efficiency and reduced
planning efforts for copresent humans. Existing frameworks for generating intent-expressive …

Robots must be cognizant of how their actions will be interpreted in context. Actions
performed in the context of a joint activity comprise two aspects: functional and …