Mobile robots operating in unknown urban environments encounter a wide range of
complex terrains to which they must adapt their planned trajectory for safe and efficient …

In this work, we show how to learn a visual walking policy that only uses a monocular RGB
camera and proprioception. Since simulating RGB is hard, we necessarily have to learn …

Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-
driving cars may consume up to 50% of the total power available onboard, thereby limiting …

A service robot can provide a smoother interaction experience if it has the ability to
proactively detect whether a nearby user intends to interact, in order to adapt its behavior eg …

We present a self-supervised learning approach for the semantic segmentation of lidar
frames. Our method is used to train a deep point cloud segmentation architecture without …

This paper proposes a new method for real-time terrain recognition-based navigation for
mobile robots. Mobile robots performing tasks in unstructured environments need to adapt …

Motion generation seeks to produce safe and feasible robot motion from start to goal.
Various tools at different levels of granularity have been developed. On one extreme …