We present ProxEmo, a novel end-to-end emotion prediction algorithm for socially aware
robot navigation among pedestrians. Our approach predicts the perceived emotions of a …

Understanding human motion behaviour is a critical task for several possible applications
like self-driving cars or social robots, and in general for all those settings where an …

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 …

With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …

We present a motion planning algorithm to compute collision-free and smooth trajectories for
high-degree-of-freedom (high-DOF) robots interacting with humans in a shared workspace …

The high-density multi-directional passenger crowd within large transportation hubs raises
practical concerns related to degraded flow conditions and possible safety hazards, but also …

We present RobustTP, an end-to-end algorithm for predicting future trajectories of road-
agents in dense traffic with noisy sensor input trajectories obtained from RGB cameras …

A robot navigating in dense crowds should react to the motion of nearby pedestrians.
However, it could lead to unsafe, inefficient, and illegible robot motions. This article presents …

Intelligent construction is an important construction trend. With the growing number of
intelligent autonomous systems implemented in the construction area, understanding and …

Robust prediction of pedestrian behavior is one of the most challenging problems for
autonomous driving. Particularly, predicting pedestrian crossings at crosswalks is of …