Results 41 to 50 of about 738 (165)
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta +9 more
wiley +1 more source
Agrivoltaic System Potential to Mitigate Effects of Climate Change in Viticulture
Climate change intensifies heatwaves, droughts, and shifting phenology in vineyards, threatening wine production. Historical meteorological data, onsite measurements, and climate projections reveal rising temperatures, up to 5.8°C by 2100 in wine‐growing regions like Hatzenport (Germany).
Natalie Hanrieder +12 more
wiley +1 more source
Autonomous Navigation of Robots Based on the Improved Informed-RRT ∗ Algorithm and DWA.
An improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT∗ algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure.
Jun Dai +3 more
openaire +2 more sources
Multiomics Research Strategies in Cancer: A Growing and Innovative Field
This review highlights multiomics strategies in cancer research, focusing on integration methods from genomics to microbiomics. Using colorectal cancer as a key example, it discusses biomarker discovery, data integration via deep learning, and the roles of single‐cell and spatial omics.
Zhenhua Du +8 more
wiley +1 more source
Research on path planning for coal mine rescue robots
This paper proposes a path planning method for coal mine rescue robots based on a Hierarchical Smooth Optimization Bidirectional A* guided dynamic window approach (HSTA*-G-DWA) algorithm.
ZHU Hongbo, YIN Hongliang
doaj +1 more source
Multi‐Task Learning for Airport Surface Surveillance: A Review
ABSTRACT The rapid growth of air transportation has surpassed the capabilities of traditional airport surveillance methods, such as visual observation and auxiliary equipment (e.g., ADS‐B, MLAT, radar), which struggle to provide all‐area, all‐weather situation awareness.
Daoyong Fu +6 more
wiley +1 more source
Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder +5 more
wiley +1 more source
INTRODUCTION: To solve the problems of low quality and weak global optimization of the DWA algorithm, especially the problems of unreasonable path planning and the inability to give consideration to speed and driving safety in the process of vehicles ...
Jing Niu +4 more
doaj +1 more source

