We present a real-time algorithm, SocioSense, for socially-aware navigation of a robot
amongst pedestrians. Our approach computes time-varying behaviors of each pedestrian …

The ability to act in a socially-aware way is a key skill for robots that share a space with
humans. In this paper we address the problem of socially-aware navigation among people …

For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is
important to model subtle human behaviors and navigation rules (eg, passing on the right) …

Mobile robots that operate in a shared environment with humans need the ability to predict
the movements of people to better plan their navigation actions. In this paper, we present a …

We present SEAN 2.0, an open-source system designed to advance social navigation via
the training and benchmarking of navigation policies in varied social contexts. A key …

Robots that navigate through human crowds need to be able to plan safe, efficient, and
human predictable trajectories. This is a particularly challenging problem as it requires the …

We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics
of pedestrians for robot navigation. Through a perception study on a simulated dataset of …

For robots to be a part of our daily life, they need to be able to navigate among crowds not
only safely but also in a socially compliant fashion. This is a challenging problem because …

In order to act socially compliant with humans, mobile robots need to show several
behaviors that require the prediction of people's motion. For example, when a robot avoids a …

We present a real-time emotion-aware navigation algorithm for social robots. Our approach
estimates time-varying emotional behaviors of pedestrians from their faces and trajectories …