Robotics
Robust multi-agent trajectory prediction is essential for the safe control of robotic systems. A major challenge is to efficiently …
This paper explores the impact of warnings, audio feedback, and gender on human-robot trust in the context of autonomous driving and …
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn …
This paper addresses the complete area coverage problem of a known environment by multiple-robots. Complete area coverage is the …
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following …