Results 71 to 80 of about 738 (165)

Sensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance

Sensors, 2019
Low field (LF) nuclear magnetic resonance (NMR) shows potential advantages to study pure heteronuclear J-coupling and observe the fine structure of matter.
Xiaolei Huang, Hui Dong, Quan Tao, Mengmeng Yu, Yongqiang Li, Liangliang Rong, Hans-Joachim Krause, Andreas Offenhäusser, Xiaoming Xie   +8 more
doaj   +1 more source

Improvement and Fusion of D*Lite Algorithm and Dynamic Window Approach for Path Planning in Complex Environments

Machines
Effective path planning is crucial for autonomous mobile robots navigating complex environments. The “global–local” coupled path planning algorithm exhibits superior global planning capabilities and local adaptability.
Yang Gao, Qidong Han, Shuo Feng, Zhen Wang, Teng Meng, Jingshuai Yang   +5 more
doaj   +1 more source

Based on the Integration of the Improved A* Algorithm with the Dynamic Window Approach for Multi-Robot Path Planning

Applied Sciences
With the escalating demand for automation in chemical laboratories, multi-robot systems are assuming an increasingly prominent role in chemical laboratories, particularly in the task of transporting reagents and experimental materials.
Yong Han, Changyong Li, Zhaohui An
doaj   +1 more source

Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles

Journal of Marine Science and Engineering
Considering the complexity and variability inherent in maritime environments, path planning algorithms for navigation have consistently been a subject of intense research interest.
Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu   +4 more
doaj   +1 more source

An A*-MPPO-DWA path planning algorithm for autonomous underwater vehicle

International Journal of Advanced Robotic Systems
Autonomous underwater vehicles (AUVs) are seeing increasingly widespread adoption in marine exploration, search and rescue, and military applications. As a core enabling technology, underwater path planning faces significant challenges, in this article ...
Qi Chen, Daqi Zhu, Mingzhi Chen
doaj   +1 more source

Adaptive Dynamic Window Approach for Mobile Robot Motion Control Using Particle Swarm Optimization

IEEE Access
Autonomous navigation for mobile robots in dynamic and unknown environments requires a robust and adaptable path planning approach able to handle real world various applications.
Samer S. Sarkis, Omar S. Elfayoumi, Mohammad A. Jaradat, Bara J. Emran   +3 more
doaj   +1 more source

A Hybrid DWA-MPC Framework for Coordinated Path Planning and Collision Avoidance in Articulated Steering Vehicles

Machines
This paper presents an autonomous collision avoidance method that integrates path planning and control for articulated steering vehicles (ASVs) operating in underground tunnel environments.
Xuanwei Chen, Changlin Yang, Huosheng Hu, Yunlong Gao, Qingyuan Zhu, Guifang Shao   +5 more
doaj   +1 more source

Study of Robot Path Planning with Improved A* And DWA Algorithm Fusion

Academic Journal of Science and Technology
For some problems of the traditional A* algorithm in robot path planning, such as inefficient search, many and complex inflection points in the designed and realized paths, as well as the inability to complete real-time dynamic path planning for obstacle avoidance, this paper proposes an improved A algorithm and combines it with Floyd for path rounding,
Jiayi Chen, Josef Cheng
openaire   +1 more source

ARIME-DWA: Robot Path Planning Utilizing Advanced RIME Optimization and Dynamic Windows Approach

IEEE Access
To overcome the limitations of insufficient optimization ability and the propensity to get stuck in local optima in the standard RIME algorithm for global path planning, an advanced RIME algorithm integrating the Artemisinin Optimization (AO) algorithm ...
Likun Hu, Chengjie Cai
doaj   +1 more source

Research on fusing improved A* and adaptive DWA path planning algorithms

Abstract To satisfy the performance requirements of robot path planning, an algorithm combining the improved A* algorithm and the improved Dynamic Window Approach (DWA) is proposed, which results in shorter path lengths, improved search efficiency, and path smoothness.
YIKUI LIAO, ZHITE WANG, YIQUAN QIN
openaire   +1 more source