Papers by Keyword: Grid Method

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Authors: Xiao Dong Tan, Xu Wang, Pi Wei Song
Abstract: The environment of automated warehouse is complex. Path collision exists conflict between intelligent robot with unknown obstacles and intelligent mobile-robot, increasing the difficulty in multiple mobile robots path planning.To solve the problem, firstly working environmental model is established with traffic rules method and the grid method. Then the whole system adopts the idea of hierarchical cooperation for dynamic local and global path planning.By simulation this method is suitable for dynamic environment with known and unknown obstacles and effectively solve the problem of path planning for multiple mobile robots in automated warehouse.
Authors: Ze Yuan Yu, Xiao Lin Chen, Zhi Tao Qiu
Abstract: A new method for predicting soil pollution with lead pollution in a city as the research object is established. We use this particular method and the Kriging Interpolation method to simulate the spatial distribution of heavy metals in soil. Select the 20 sampling points as the cross-validation data set. Compare and analyze two kinds of interpolation methods. The results showed that: the new method is more suitable for urban areas contaminated with mutations since it has high prediction accuracy there. Analysis of soil with heavy metal contamination soil is premise of soil remediation and ecological restoration. Research results possess significant values for theories which choose different interpolation simulation methods according to different purposes.
Authors: Raphaël Moulart, René Rotinat, Fabrice Pierron, Gilles Lérondel
Abstract: This work deals with the development of a full-field extensometric method at a micrometric scale in order to precisely identify the local features of a metallic alloy at the scale of the grains. The full-field method that has been chosen is the grid method that applies a spatial phase-shifting algorithm to a periodic pattern. To mark the sample, direct interferometric photolithography was used. The paper presents the basic features of the technique and first mechanical test results are commented.
Authors: Zhi Qiang Kang, Xiu Hua Shi, Qi Li, Bin Feng
Abstract: For rapid detection of defects, this paper selected by the grid method in the whole image defect in the area, and then use the grid template to a defect in the image area can not be narrowed down to so far, and there is only a small area defect image processing. Detection of small defects in the fabric, through the Wavelet transform and other image enhancement comparison and the fabric defect detection experiment found that wavelet transform for image enhancement characteristics of a local image enhancement processing, can achieve better detection of weak targets the effect of small fabric defect detection to improve accuracy and efficiency, real time, to achieve rapid industrial fabric defect detection requirements.
Authors: Cai Ping Liu, Qing Quan Duan
Abstract: The stress-strain curve in the large plastic deformation process is always not available due to the strain gauge deficiencies in large deformation measurement. Considering this problem, digital marker identification technique is used to measure large deformation of Steel Q235 with images taken by with charge-coupled device. Then together with the deformation measured by traditional stain gauge at small deformation stage, the total stress and strain curve is obtained at macroscale. The mesoscopic deformation is measured by a material testing system assembled with scanning electronic microscope. The images from the initial stage to the rupture stage are captured synchronously. What’s more, using the grid method, the strain and rotation in rational mechanics is analyzed.
Authors: Bao Feng Zhang, Ya Chun Wang, Xiao Ling Zhang
Abstract: Global path planning is quoted in this paper. The stoical and global environment has been given to us, which is abstracted with grid method before we build the workspace model of the robot. With the adoption of the ant colony algorithm, the robot tries to find a path which is optimal or optimal-approximate path from the starting point to the destination. The robot with the built-in infrared sensors navigates autonomously to avoid collision the optimal path which has been built, and moves to the object. Based on the MATLAB platform, the simulation results indicate that the algorithm is rapid, simple, efficient and high-performance. Majority of traditional algorithms of the path planning have disadvantages, for instance, the method of artificial potential field is falling into the problem of local minimum value easily. ACO avoids these drawbacks, therefore the convergence period can be extended, and optimal path can be planned rapidly.
Authors: Bao Feng Zhang, Ya Chun Wang, Xiao Ling Zhang
Abstract: Various combination optimization algorithms have been designed to solve the problem of robot path planning, but every algorithm has some limitation. The artificial potential field method has superiorities in positive feedback, flexibility and collaboration, which convert it into adapt to the trend of path planning algorithms in the intelligent and bionic direction. Artificial potential field method is advanced in the environment of static grid in this paper. Then the feasibility and practicability of the algorithm are backed by a simulation experiment.
Authors: Jun Wei Zhao, Yan Qin Li, Guo Qiang Chen
Abstract: Aiming at the joint robot path plan in unknown environment, the paper adopts the method of obstacle avoidance in X-Y plane. The obstacles exist in the Cartesian space are transformed into the joint blind regions in the Joint (C) space through geometry principle and inverse kinematics. The simulation using the partial particle swarm optimization (PSO) algorithm is utilized in seeking the angles that can avoid obstacles. Finally the path in the Cartesian space is obtained through transforming angles. The method is verified to be simple and effective.
Authors: Shi Yan, Hui Wang, Han Yan, Dequan Deng
Abstract: On account of the Wind Turbine Foundation Design Rules of China (trial implementation), the grid method is used to form an optimization design for the shell type foundation of the wind turbo-generator, using concrete dosage as the objective function. The constraint condition of the optimization meets the bearing capacity of the foundation and the compressive stress at the edge of foundation is greater than or equal to zero, reaching optimal relation between the central non-contact area and the contact area. Meanwhile, the finite element analysis on the shell type foundation of a wind turbo-generator is numerically performed in this paper by using ANSYS, to verify the feasibility of optimization scheme. The results show that this optimization scheme which can reduce the cost of wind power engineering project satisfies the requirement of design rules, saving the consumption of the concrete, and it has obvious economic benefits.
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