Results 61 to 70 of about 738 (165)

Research on AGV Path Planning Integrating an Improved A* Algorithm and DWA Algorithm

Applied Sciences
With the rapid development of the economy and the continuous improvement of people’s living standards, the printing and packaging industry plays an increasingly important role in people’s lives. The traditional printing industry is a discrete manufacturing industry, relying on a large amount of manpower and manual operation, low production efficiency ...
Wenpeng Sang, Yaoshun Yue, Kaiwei Zhai, Maohai Lin   +3 more
openaire   +2 more sources

A Cognitive AI‐Driven Hybrid Deep Learning Framework With Adaptive Dual Optimization for Reliable Renewable Energy Forecasting

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Reliable forecasting of renewable power generation is critical for optimizing power system operation, enhancing resource allocation, and supporting sustainable renewable energy planning. This paper proposes DeepCognition Forecasting (DCF), a Cognitive AI‐inspired hybrid deep learning framework that integrates bidirectional long short‐term memory (Bi ...
Asmaa Mohamed El-Saieed, Nada A. Dief, Pramita Mishra   +2 more
wiley   +1 more source

A Dynamic Path Planning Method for UAVs Based on Improved Informed-RRT* Fused Dynamic Windows

Drones
In recent years, navigating rotor drones in complex and dynamic environments has been a significant challenge. This paper proposes an improved path planning method by integrating the enhanced Informed-RRT* algorithm with the Dynamic Window Approach (DWA)
Ting Wu, Zheng Zhang, Feng Jing, Mei Gao
doaj   +1 more source

Multiagent Path Planning With Neural Obstacle Avoidance for Autonomous Heavy Trucks

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Autonomous trucks in busy port terminals must navigate narrow aisles, tight corners, and frequent interactions with multiple vehicles while maintaining both safety and efficiency. This paper presents a hierarchical multiagent navigation framework that integrates an enhanced grid‐based Theta∗ global planner with obstacle inflation and clearance‐aware ...
Yihan Liu, Rauno Heikkilä, Jianbin Xin
wiley   +1 more source

Path Planning for Yarn Changing Robots Based on NRBO and Dynamic Obstacle Avoidance Strategy

Applied Sciences
To address the shortcomings of traditional bionic algorithms in path planning, such as inefficient search processes, extended planning distances and times, and suboptimal dynamic obstacle avoidance, this paper introduces a fusion algorithm called NRBO ...
Weimin Shi, Qiang Liang, Lei Sun
doaj   +1 more source

Performance Evaluation of an AI‐Based Model Predictive Control Algorithm for Outdoor Air‐Based Ventilation Systems in Elementary School Facilities

Indoor Air, Volume 2026, Issue 1, 2026.
Improvements in the indoor environment at schools are required due to the long periods of time spent in school facilities by children, who are particularly vulnerable to poor indoor air quality (IAQ). This study thus developed an AI‐based model predictive control algorithm (MPCA) for an outdoor air‐based energy recovery ventilation (ERV) system and ...
Jae Yoon Byun, Tae Won Kim, Ji Young Yun, Geun Young Yun, Jin Woo Moon, Abdollah Baghaei Daemei   +5 more
wiley   +1 more source

Solving the Net Worth Optimization Problem

FINANCIAL PLANNING REVIEW, Volume 8, Issue 4, December 2025.
ABSTRACT The mean–variance optimization (MVO) model of Harry M. Markowitz is the foundation of quantitative portfolio construction and asset allocation. While Markowitz originally developed MVO for forming portfolios of tradable assets in isolation, it has been adapted for creating portfolios of tradable assets in the presence of non‐tradable assets ...
Paul D. Kaplan
wiley   +1 more source

Path Planning of Mobile Robot Based on A Star Algorithm Combining DQN and DWA in Complex Environment

Applied Sciences
The path planning algorithm not only ensures that the mobile robot can avoid obstacles to reach the target point at a safe speed but also ensures that the mobile robot can quickly adapt to the complex changing environment.
Yilin Zhang, Chang Cui, Qiang Zhao
doaj   +1 more source

Improved A* and DWA fusion algorithm based path planning for intelligent substation inspection robot

Measurement + Control
To solve the intelligent substation inspection robot path planning with low global efficiency, search node redundancy, and may even fail under a dynamic obstacle environment, which is normally based on the A* or dynamic window approach (DWA) algorithms ...
Wei Zhang, Wanli Li, Xiang Zheng, Bing Sun   +3 more
doaj   +1 more source

Dynamic Path Planning Method for Unmanned Surface Vessels in Complex Traffic Conditions of Island Reefs Waters

Drones
Unmanned Surface Vehicles (USVs) operating in complex traffic conditions in island reef waters often require different types of algorithms. Therefore, selecting a dynamic path-planning algorithm with strong adaptability has become a new challenge.
Jing Peng, Xinyuan Zhao, Qi Zhao
doaj   +1 more source