Results 21 to 30 of about 200 (171)

A Global Path Planning Method for Unmanned Ground Vehicles in Off-Road Environments Based on Mobility Prediction

Machines, 2022
In a complex off-road environment, due to the low bearing capacity of the soil and the uneven features of the terrain, generating a safe and effective global route for unmanned ground vehicles (UGVs) is critical for the success of their motion and ...
Chen Hua, Runxin Niu, Biao Yu, Xiaokun Zheng, Rengui Bai, Song Zhang   +5 more
doaj   +1 more source

Toward a Terramechanics for Bio-Inspired Locomotion in Granular Environments [PDF]

Earth and Space 2012, 2012
Granular media (GM) present locomotor challenges for terrestrial and extraterrestrial devices because they can flow and solidify in response to localized intrusion of wheels, limbs, and bodies. While the development of airplanes and submarines is aided by understanding of hydrodynamics, fundamental theory does not yet exist to describe the complex ...
Chen Li 0017, Yang Ding, Nick Gravish, Ryan D. Maladen, Andrew Masse, Paul B. Umbanhowar, Haldun Komsuoglu, Daniel E. Koditschek, Daniel I. Goldman   +8 more
openaire   +3 more sources

A Composite Metric Routing Approach for Energy-Efficient Shortest Path Planning on Natural Terrains

Applied Sciences, 2021
This paper explores the problem of energy-efficient shortest path planning on off-road, natural, real-life terrain for unmanned ground vehicles (UGVs). We present a greedy path planning algorithm based on a composite metric routing approach that combines
Mohamed Saad, Ahmed I. Salameh, Saeed Abdallah, Ali El-Moursy, Chi-Tsun Cheng   +4 more
doaj   +1 more source

Accessibility Data Set for Large Permanent Cold Traps at the Lunar Poles

Earth and Space Science, Volume 7, Issue 10, October 2020., 2020
Abstract Many large cold traps exist at both lunar poles where temperatures never exceed 110 K annually, allowing the preservation of water ice. Much has been learned about these regions from orbital measurements, but in situ access is needed to truly understand the abundance, distribution, texture, and chemistry of volatiles that might be present in ...
Kevin M. Cannon, Daniel T. Britt
wiley   +1 more source

Optimal Path-Planning of Nonholonomic Terrain Robots for Dynamic Obstacle Avoidance Using Single-Time Velocity Estimator and Reinforcement Learning Approach

IEEE Access, 2019
A single-time velocity estimator-based reinforcement learning (RL) algorithm, integrated with a chaotic metaheuristic optimization technique is proposed in this article for the optimal path-planning of the nonholonomic robots considering a moving ...
Hamid Taghavifar, Bin Xu, Leyla Taghavifar, Yechen Qin   +3 more
doaj   +1 more source

Proposal of walking to reduce slipping behavior using compaction effect of loose soil caused by a propagation of vibration for small light lunar planetary exploration rovers with legs

Nihon Kikai Gakkai ronbunshu, 2020
Purpose of our research is to improve the movement performance of small leg typed rovers using effects caused by vibration propagation. When the loose ground is given vibration, there are two effects.
Tomohiro WATANABE, Kojiro IIZUKA
doaj   +1 more source

Influence of Terrain Parameters on Tire Forces and Moments Under Multi-Pass Loading

Applied Sciences
The dynamic response of soft terrain under repeated vehicle passes significantly influences off-road vehicle mobility and performance. The primary innovation of this research is the integration of loading–unloading hysteresis, multi-pass terrain-state ...
Sadegh Yarmohammadisatri, Corina Sandu
doaj   +1 more source

The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review

World Electric Vehicle Journal
With the rapid advancement of technologies related to unmanned ground systems, ground vehicles are being widely deployed across various domains. However, when operating in complex, soft terrain environments, the low bearing capacity of such terrains ...
Chen Hua, Wencheng Zhang, Hanghao Fu, Yuhao Zhang, Biao Yu, Chunmao Jiang, Yuliang Wei, Ziyu Chen, Xinkai Kuang   +8 more
doaj   +1 more source

Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks [PDF]

Journal of Agricultural Machinery
Introduction The formation of ruts induced by vehicle traffic poses a significant challenge for agricultural soils due to soil compaction both at the surface and deeper layers. This phenomenon compromises vehicle performance increases energy consumption,
N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari   +3 more
doaj   +1 more source

Utilizing Hyperspectral Remote Sensing for Soil Gradation

Remote Sensing, 2020
Soil gradation is an important characteristic for soil mechanics. Traditionally soil gradation is performed by sieve analysis using a sample from the field.
Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger   +3 more
doaj   +1 more source