Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

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 …

Predicting pedestrian movement is critical for human behavior analysis and also for safe and
efficient human-agent interactions. However, despite significant advancements, it is still …

We consider the problem of navigating a mobile robot through dense human crowds. We
begin by exploring a fundamental impediment to classical motion planning algorithms called …

We consider mobile robot navigation in dense human crowds. In particular, we explore two
questions. Can we design a navigation algorithm that encourages humans to cooperate with …

We introduce a novel, online method to predict pedestrian trajectories using agent-based
velocity-space reasoning for improved human–robot interaction and collision-free …

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 …

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 …

We present a novel real-time algorithm to predict the path of pedestrians in cluttered
environments. Our approach makes no assumption about pedestrian motion or crowd …

How does the presence of a robot affect pedestrians and crowd dynamics, and does this
influence vary across robot type? In this paper, we took the first step towards answering this …