We propose a demonstration of the Social Environment for Autonomous Navigation with
Virtual Reality (VR) for advancing research in Human-Robot Interaction. In our …

Evaluation of social robot navigation inherently requires human input due to its qualitative
nature. Motivated by the need to scale human evaluation, we propose a general method for …

This paper explores the use of Virtual Reality (VR) to study humanrobot interactions during
navigation tasks by both immersing a user and a robot in a shared virtual spaces. VR …

Our aim is to advance the reliability of autonomous social navigation. We have researched
how simulation may advance this goal via crowdsourcing. We recently proposed the …

Experimenting, testing, and debugging robot social navigation systems is a challenging task.
While simulation is generally well suited for a first level of debugging and evaluation of …

We present Habitat 3.0: a simulation platform for studying collaborative human-robot tasks in
home environments. Habitat 3.0 offers contributions across three dimensions:(1) Accurate …

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

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

We present a suite of tools to model a robot, its sensors, and the surrounding environment in
VR, with the goal of collecting training data for real-world robots. The virtual robot observes a …

Human-robot interaction (HRI) is essential to the widespread use of robots in daily life.
Robots will eventually be able to carry out a variety of duties in human civilization through …