Haptic inspection of planetary soils with legged robots

H Kolvenbach, C Bärtschi, L Wellhausen… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Planetary exploration robots encounter challenging terrain during operation. Vision-based
approaches have failed to reliably predict soil characteristics in the past, making it necessary …

Scate: A scalable framework for self-supervised traversability estimation in unstructured environments

J Seo, T Kim, K Kwak, J Min… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
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 …

Vital: Vision-based terrain-aware locomotion for legged robots

S Fahmi, V Barasuol, D Esteban… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article focuses on vision-based planning strategies for legged robots that separate
locomotion planning into foothold selection and pose adaptation. Current pose adaptation …

Self-supervised terrain representation learning from unconstrained robot experience

H Karnan, E Yang, D Farkash, G Warnell… - arXiv preprint arXiv …, 2023 - arxiv.org
Terrain awareness, ie, the ability to identify and distinguish different types of terrain, is a
critical ability that robots must have to succeed at autonomous off-road navigation. Current …

Real-time optimal navigation planning using learned motion costs

B Yang, L Wellhausen, T Miki, M Liu… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Navigation on challenging terrain topographies requires the understanding of robots'
locomotion capabilities to produce optimal solutions. We present an integrated framework …

Learning semantics-aware locomotion skills from human demonstration

Y Yang, X Meng, W Yu, T Zhang… - Conference on robot …, 2023 - proceedings.mlr.press
The semantics of the environment, such as the terrain type and property, reveals important
information for legged robots to adjust their behaviors. In this work, we present a framework …

Learning physical characteristics like animals for legged robots

P Xu, L Ding, Z Li, H Yang, Z Wang, H Gao… - National Science …, 2023 - academic.oup.com
Physical characteristics of terrains, such as softness and friction, provide essential
information for legged robots to avoid non-geometric obstacles, like mires and slippery …

[HTML][HTML] A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights

S Beycimen, D Ignatyev, A Zolotas - Engineering Science and Technology …, 2023 - Elsevier
This article provides a detailed analysis of the assessment of unmanned ground vehicle
terrain traversability. The analysis is categorized into terrain classification, terrain mapping …

Self-supervised traversability prediction by learning to reconstruct safe terrain

R Schmid, D Atha, F Schöller, S Dey… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Navigating off-road with a fast autonomous vehicle depends on a robust perception system
that differentiates traversable from non-traversable terrain. Typically, this depends on a …

Fine-grained off-road semantic segmentation and mapping via contrastive learning

B Gao, S Hu, X Zhao, H Zhao - 2021 IEEE/RSJ International …, 2021 - ieeexplore.ieee.org
Road detection or traversability analysis has been a key technique for a mobile robot to
traverse complex off-road scenes. The problem has been mainly formulated in early works …