Results 1 to 10 of about 170,756 (115)
Aiming at the problem of unmanned reconfiguration and docking of ground vehicles under complex working conditions, we designed a piece of docking equipment composed of an active mechanism based on a six-degree-of-freedom platform and a locking mechanism ...
Gan Zhan +6 more
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Aimed at the problems of low search efficiency of the A* algorithm in global path planning, not considering the size of AGV and too many turns, and the DWA algorithm easily falling into local optimization, an AGV path planning algorithm based on improved
Tao Guo +4 more
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Research on the Path Planning of Unmanned Sweepers Based on a Fusion Algorithm
Path planning is one of the key technologies for unmanned driving. However, global paths are unable to avoid unknown obstacles, while local paths tend to fall into local optimality.
Yongjie Ma, Peng Ping, Quan Shi
doaj +3 more sources
High Dynamic Range Structured Illumination Microscope Based on Multiple Exposures
Structured illumination microscope (SIM) can double the spatial resolution by using fringed pattern illumination. However, for samples with large intra-scene dynamic ranges, such as clustered objects, SIM fails to reconstruct high-quality images and ...
Yong Liang +14 more
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Improved Bidirectional RRT* Algorithm for Robot Path Planning
In order to address the shortcomings of the traditional bidirectional RRT* algorithm, such as its high degree of randomness, low search efficiency, and the many inflection points in the planned path, we institute improvements in the following directions.
Peng Xin +5 more
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Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model [PDF]
Xiong Z, Ma J, Chen B, Lan H, Niu Y.
exaly +2 more sources
Spindles differ in density, amplitude, and frequency, and these variations reflect different physiological processes. Sleep disorders are characterized by difficulty in falling asleep and maintaining sleep.
Chao Chen +9 more
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The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning
Existing mobile robots cannot complete some functions. To solve these problems, which include autonomous learning in path planning, the slow convergence of path planning, and planned paths that are not smooth, it is possible to utilize neural networks to
Jinglun Yu, Yuancheng Su, Yifan Liao
doaj +1 more source
The intraoperative movement of target organs is currently a key and difficult problem that restricts clinical surgery diagnosis and treatment, especially radiotherapy.
Yongde Zhang +3 more
doaj +1 more source
Power Grid Material Demand Forecasting Based on Pearson Feature Selection and Multi-Model Fusion
The demand projection of power grid materials can furnish an effective support for the management of power grid materials. Due to variations in the data distribution of individual districts and diversity of materials, a single forecasting model is ...
Zhou Dai +4 more
doaj +1 more source

