[PDF][PDF] A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.

PVK Borges, T Peynot, S Liang, B Arain, M Wildie… - Field …, 2022 - fieldrobotics.net
Understanding the terrain in the upcoming path of a ground robot is one of the most
challenging problems in field robotics. Terrain and traversability analysis is a …

Autonomous terrain classification with co-and self-training approach

K Otsu, M Ono, TJ Fuchs, I Baldwin… - IEEE Robotics and …, 2016 - ieeexplore.ieee.org
Identifying terrain type is crucial to safely operating planetary exploration rovers. Vision-
based terrain classifiers, which are typically trained by thousands of labeled images using …

[HTML][HTML] An embarrassingly simple approach for visual navigation of forest environments

C Niu, C Newlands, KP Zauner… - Frontiers in Robotics and …, 2023 - frontiersin.org
Navigation in forest environments is a challenging and open problem in the area of field
robotics. Rovers in forest environments are required to infer the traversability of a priori …

Probe-before-step walking strategy for multi-legged robots on terrain with risk of collapse

E Tennakoon, T Peynot, J Roberts… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Multi-legged robots are effective at traversing rough terrain. However, terrains that include
collapsible footholds (ie regions that can collapse when stepped on) remain a significant …

Terrain-adaptive locomotion control for an underwater hexapod robot: Sensing leg–terrain interaction with proprioceptive sensors

L Chen, R Cui, W Yan, H Xu… - IEEE Robotics & …, 2023 - ieeexplore.ieee.org
An underwater hexapod robot, driven by six C-shaped legs and eight thrusters, has the
potential to traverse diverse terrains with unknown deformable properties, which can lead to …

[HTML][HTML] Regressed terrain traversability cost for autonomous navigation based on image textures

MA Bekhti, Y Kobayashi - Applied Sciences, 2020 - mdpi.com
The exploration of remote, unknown, rough environments by autonomous robots strongly
depends on the ability of the on-board system to build an accurate predictor of terrain …

Learning to assess terrain from human demonstration using an introspective gaussian-process classifier

LP Berczi, I Posner, TD Barfoot - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
This paper presents an approach to learning robot terrain assessment from human
demonstration. An operator drives a robot for a short period of time, supervising the …

Conv1D energy-aware path planner for mobile robots in unstructured environments

M Visca, A Bouton, R Powell, Y Gao… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Driving energy consumption plays a major role in the navigation of mobile robots in
challenging environments, especially if they are left to operate unattended under limited on …

Terrain classification using ToF sensors for the enhancement of agricultural machinery traversability

FY Narváez, E Gregorio, A Escolà… - Journal of …, 2018 - Elsevier
Ground properties influence various aspects of mobile machinery navigation including
localization, mobility status or task execution. Excessive slip**, skidding or trap** …

Controlling robot morphology from incomplete measurements

M Pecka, K Zimmermann, M Reinstein… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Mobile robots with complex morphology are essential for traversing rough terrains in Urban
Search & Rescue missions. Since teleoperation of the complex morphology causes high …