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 …
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
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 …
environments, the traversability of terrain should vary based on the driving capabilities of the …
Vital: Vision-based terrain-aware locomotion for legged robots
This article focuses on vision-based planning strategies for legged robots that separate
locomotion planning into foothold selection and pose adaptation. Current pose adaptation …
locomotion planning into foothold selection and pose adaptation. Current pose adaptation …
Self-supervised terrain representation learning from unconstrained robot experience
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 …
critical ability that robots must have to succeed at autonomous off-road navigation. Current …
Real-time optimal navigation planning using learned motion costs
Navigation on challenging terrain topographies requires the understanding of robots'
locomotion capabilities to produce optimal solutions. We present an integrated framework …
locomotion capabilities to produce optimal solutions. We present an integrated framework …
Learning semantics-aware locomotion skills from human demonstration
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 …
information for legged robots to adjust their behaviors. In this work, we present a framework …
Learning physical characteristics like animals for legged robots
Physical characteristics of terrains, such as softness and friction, provide essential
information for legged robots to avoid non-geometric obstacles, like mires and slippery …
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
This article provides a detailed analysis of the assessment of unmanned ground vehicle
terrain traversability. The analysis is categorized into terrain classification, terrain mapping …
terrain traversability. The analysis is categorized into terrain classification, terrain mapping …
Self-supervised traversability prediction by learning to reconstruct safe terrain
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 …
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 …
traverse complex off-road scenes. The problem has been mainly formulated in early works …