[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 …

Sensing and Artificial Perception for Robots in Precision Forestry: A Survey

JF Ferreira, D Portugal, ME Andrada, P Machado… - Robotics, 2023 - mdpi.com
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle

Ö Gültekin, E Cinar, K Özkan, A Yazıcı - Expert Systems with Applications, 2022 - Elsevier
The integration of Industry 4.0 concepts into today's manufacturing settings has introduced
new technology tools that have already started providing companies an increased level of …

Terp: Reliable planning in uneven outdoor environments using deep reinforcement learning

K Weerakoon, AJ Sathyamoorthy… - … on Robotics and …, 2022 - ieeexplore.ieee.org
We present a novel method for reliable robot navigation in uneven outdoor terrains. Our
approach employs a fully-trained Deep Reinforcement Learning (DRL) network that uses …

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

PVK Borges, T Peynot, S Liang, B Arain… - Field …, 2022 - journalfieldrobotics.org
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 …

[HTML][HTML] 3D traversability analysis and path planning based on mechanical effort for UGVs in forest environments

AE Carvalho, JF Ferreira, D Portugal - Robotics and Autonomous Systems, 2024 - Elsevier
Autonomous navigation in rough and dynamic 3D environments is a major challenge for
modern robotics. This paper presents a novel traversability analysis and path planning …

[HTML][HTML] Machine learning applications in off-road vehicles interaction with terrain: An overview

B Golanbari, A Mardani, N Farhadi, G Reina - Journal of Terramechanics, 2024 - Elsevier
With the advent of artificial intelligence, the analysis of systems related to complex
processes has become possible or easier. The interaction of the traction factor of off-road …

On the role of feature and signal selection for terrain learning in planetary exploration robots

A Ugenti, F Vulpi, R Domínguez, F Cordes… - Journal of Field …, 2022 - Wiley Online Library
Increasing the terrain awareness of planetary exploration rovers is one key technology for
future space robotics to successfully accomplish long‐distance and long‐duration missions …

An Enhanced Genetic Algorithm for Solving Trajectory Planning of Autonomous Robots

AK Kumar, A Alemran, DA Karras… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Different tasks inside the environments call for different types of robots with various traits and
designs. The research community appears to favour a number of robot classes in particular …

Deep Learning Vision System for Quadruped Robot Gait Pattern Regulation

C Cruz Ulloa, L Sánchez, J Del Cerro, A Barrientos - Biomimetics, 2023 - mdpi.com
Robots with bio-inspired locomotion systems, such as quadruped robots, have recently
attracted significant scientific interest, especially those designed to tackle missions in …