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[PDF][PDF] A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.
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 …
challenging problems in field robotics. Terrain and traversability analysis is a …
Autonomous terrain classification with co-and self-training approach
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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** …
localization, mobility status or task execution. Excessive slip**, skidding or trap** …
Controlling robot morphology from incomplete measurements
Mobile robots with complex morphology are essential for traversing rough terrains in Urban
Search & Rescue missions. Since teleoperation of the complex morphology causes high …
Search & Rescue missions. Since teleoperation of the complex morphology causes high …