Mobile robots capable of navigating seamlessly and safely in pedestrian rich environments
promise to bring robotic assistance closer to our daily lives. In this paper we draw on insights …

We present DenseCAvoid, a novel algorithm for navigating a robot through dense crowds
and avoiding collisions by anticipating pedestrian behaviors. Our formulation uses visual …

It is challenging for a mobile robot to navigate through human crowds. Existing approaches
usually assume that pedestrians follow a predefined collision avoidance strategy, like social …

Seamlessly operating an autonomous vehicles in a crowded pedestrian environment is a
very challenging task. This is because human movement and interactions are very hard to …

Mobile robots need to navigate in crowded environments to provide services to humans.
Traditional approaches to crowd-aware navigation decouple people motion prediction from …

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 …

Mobility in an effective and socially-compliant manner is an essential yet challenging task for
robots operating in crowded spaces. Recent works have shown the power of deep …

Autonomous navigation in crowded spaces poses a challenge for mobile robots due to the
highly dynamic, partially observable environment. Occlusions are highly prevalent in such …

Safe and efficient crowd navigation for mobile robot is a crucial yet challenging task.
Previous work has shown the power of deep reinforcement learning frameworks to train …

We study the problem of safe and socially aware robot navigation in dense and interactive
human crowds. Previous works use simplified methods to model the personal spaces of …