Where should i walk? predicting terrain properties from images via self-supervised learning

L Wellhausen, A Dosovitskiy, R Ranftl… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Legged robots have the potential to traverse diverse and rugged terrain. To find a safe and
efficient navigation path and to carefully select individual footholds, it is useful to be able to …

Safe robot navigation via multi-modal anomaly detection

L Wellhausen, R Ranftl, M Hutter - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Navigation in natural outdoor environments requires a robust and reliable traversability
classification method to handle the plethora of situations a robot can encounter. Binary …

Vern: Vegetation-aware robot navigation in dense unstructured outdoor environments

AJ Sathyamoorthy, K Weerakoon… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
We propose a novel method for autonomous legged robot navigation in densely vegetated
environments with a variety of pliable/traversable and non-pliable/untraversable vegetation …

Vinet: Visual and inertial-based terrain classification and adaptive navigation over unknown terrain

T Guan, R Song, Z Ye, L Zhang - 2023 IEEE international …, 2023 - ieeexplore.ieee.org
We present a visual and inertial-based terrain classification network (VINet) for robotic
navigation over different traversable surfaces. We use a novel navigation-based labeling …

Autonomous Robot Navigation in Challenging Real-World Indoor and Outdoor Environments

AJ Sathyamoorthy - 2024 - search.proquest.com
The use of autonomous ground robots for various indoor and outdoor applications has
burgeoned over the years. In indoor settings, their applications range from waiters in hotels …