Abstract The Robot Operating System (ROS) has become the de-facto standard framework
for robotics software, and a great part of commercial robots is expected to have at least one …

Edge computing is projected to have profound implications in the coming decades,
proposed to provide solutions for applications such as augmented reality, predictive …

Classical close-set semantic segmentation networks have limited ability to detect out-of-
distribution (OOD) objects, which is important for safety-critical applications such as …

Deep learning has enabled impressive progress in the accuracy of semantic segmentation.
Yet, the ability to estimate uncertainty and detect failure is key for safety-critical applications …

Introduction: Small mobile robots have become increasingly popular in the construction
domain over the last few years. They are stable on rough terrains, can walk over small …

Deep learning has enabled impressive progress in the accuracy of semantic segmentation.
Yet, the ability to estimate uncertainty and detect anomalies is key for safety-critical …

Robots that support humans by performing useful tasks (aka, service robots) are booming
worldwide. In contrast to industrial robots, the development of service robots comes with …

Mobile and general-purpose robots increasingly support everyday life, requiring
dependable robotics control software. Creating such software mainly amounts to …

Navigation in natural outdoor environments requires a robust and reliable traversability
classification method to handle the plethora of situations a robot can encounter. Binary …

Current methods for LIDAR semantic segmentation are not robust enough for real-world
applications, eg, autonomous driving, since it is closed-set and static. The closed-set …