Autonomous wheeled-legged robots have the potential to transform logistics systems,
improving operational efficiency and adaptability in urban environments. Navigating urban …

Natural environments such as forests and grasslands are challenging for robotic navigation
because of the false perception of rigid obstacles from high grass, twigs, or bushes. In this …

Traversing terrain with good traction is crucial for achieving fast off-road navigation. Instead
of manually designing costs based on terrain features, existing methods learn terrain …

We introduce LiDAR-UDA, a novel two-stage self-training-based Unsupervised Domain
Adaptation (UDA) method for LiDAR segmentation. Existing self-training methods use a …

Real-time path planning in outdoor environments still challenges modern robotic systems
due to differences in terrain traversability, diverse obstacles, and the necessity for fast …

We propose a novel method, ProNav, which uses proprioceptive signals for traversability
estimation in challenging outdoor terrains for autonomous legged robot navigation. Our …

For the safe and successful navigation of autonomous vehicles in unstructured
environments, the traversability of terrain should vary based on the driving capabilities of the …

A key challenge in off-road navigation is that even visually similar terrains or ones from the
same semantic class may have substantially different traction properties. Existing work …

Deployment in hazardous environments requires robots to understand the risks associated
with their actions and movements to prevent accidents. Despite its importance, these risks …

Elevation maps are commonly used to represent the environment of mobile robots and are
instrumental for locomotion and navigation tasks. However, pure geometric information is …