scholarly journals Two dimensional and three dimensional path planning in robotics

2000 ◽  
Author(s):  
Hyun Kim
Keyword(s):  
Path Planning ◽  
Three Dimensional ◽  
Two Dimensional

scholarly journals Needle path planning and steering in a three-dimensional non-static environment using two-dimensional ultrasound images

2014 ◽  
Vol 33 (10) ◽  
pp. 1361-1374 ◽  
Author(s):  
Gustaaf J. Vrooijink ◽  
Momen Abayazid ◽  
Sachin Patil ◽  
Ron Alterovitz ◽  
Sarthak Misra
Keyword(s):  
Path Planning ◽  
Three Dimensional ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Needle Path

Scanning Path Planning in Laser Bending of Tube Based on Curvature

2011 ◽  
Vol 264-265 ◽  
pp. 6-11
Author(s):  
Xu Yue Wang ◽  
Jun Wang ◽  
L.J. Wang ◽  
W.J. Xu ◽  
D.M. Guo
Keyword(s):  
Path Planning ◽  
Extreme Point ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Two Dimensional ◽  
Laser Bending ◽  
Scanning Path ◽  
Scanning Path Planning ◽  
Three Dimensional Space

A method is presented based on geometric-curvature characteristics in which a scanning path planning for laser bending of a straight tube into a curve tube in a two- and three-dimensional space. In a two-dimensional (plane) bending, the steel tube is divided into several segments according to the extreme point and inflection point of the desired shape of the tube, taking the extreme point as the initial place of the path planning, using different scanning space for every segment in order to identify the scanning paths. For a tube bending in a three-dimensional space, a projection decomposition method is used, where the three-dimensional is decomposed into two two-dimensions, and respective scanning path planning and process parameters are thus acquired. By combining the data in the two-dimensional planes, the three-dimensional scanning path plan was obtained. Finally, an experimental verification is carried out to bend straight tubes into a two-dimensional sinusoidal and a three-dimensional helical coil-shaped tube. The results show that the proposed method of scanning path planning is effective and feasible.

scholarly journals A path planning method for a surface inspection system based on two-dimensional laser profile scanner

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141986246 ◽  
Author(s):  
Lina Li ◽  
De Xu ◽  
Linkai Niu ◽  
Yuan Lan ◽  
Xiaoyan Xiong
Keyword(s):  
Path Planning ◽  
Three Dimensional ◽  
Neighborhood Search ◽  
Inspection System ◽  
Two Dimensional ◽  
Surface Data ◽  
Scanning Path ◽  
Scanning Path Planning ◽  
Robot Position ◽  
Orientation Determination

In this article, a method for two-dimensional scanning path planning based on robot is proposed. In this method, a section division algorithm based on neighborhood search method for scanning orientation determination is firstly produced. The scanning paths which meet constraints of the system are then generated. Finally, the experiment is carried out on robot-based scanning platform. The two-dimensional data from scanner and the robot position are combined to form three-dimensional surface data of measured workpiece. The experiment results verify the effectiveness of proposed method.

scholarly journals Optimal path planning based on A* algorithm for submarine mining vehicle

2020 ◽  
Vol 309 ◽  
pp. 04006
Author(s):  
Yuheng Chen ◽  
Hongyun Wu ◽  
Qiru Sui ◽  
Yinghao Chen ◽  
Rongyao Wang ◽  
...  
Keyword(s):  
Path Planning ◽  
Search Algorithm ◽  
Interpolation Method ◽  
Optimal Path ◽  
Three Dimensional ◽  
Mining Area ◽  
Mining Machine ◽  
Two Dimensional ◽  
A Algorithm ◽  
Operation Conditions

Deep sea mining, as a frontier area in China, urgently needs to make progress in automatic navigation technology. In order to improve the operation efficiency of the seabed mining machine on the soft seabed, the submarine mining vehicle which complete the mining work in a certain mining area need to enter the next mining area quickly and economically. As a classical algorithm, the majority of scholars consider that A * algorithm is the most practical path planning search algorithm. Considering the limitation of operation conditions, the three-dimensional diagram is transformed into two-dimensional diagram by interpolation method when the seabed terrain conditions allow, and then the obstacles can be marked in two-dimensional diagram. A* algorithm was applied into the path planning of mining truck. The simulation results of the paper show that path cost, turning time and turning mode should be considered in the process of avoiding obstacles.

Path Planning for an Articulated Transporter/Manipulator System

1992 ◽  
Author(s):  
Shih-chien Chiang ◽  
Carl D. Crane ◽  
Joseph Duffy
Keyword(s):  
Path Planning ◽  
Hierarchical Structure ◽  
Planning Process ◽  
Three Dimensional ◽  
Vertical Motion ◽  
Working Environment ◽  
Planning Problem ◽  
Two Dimensional ◽  
Path Planning Problem

Abstract This work addresses the three dimensional path planning for an Articulated Transporter/Manipulator System (ATMS) in a given working environment. A vertical motion capability provides the ATMS a new ability which can be used to advantage in the generation of collision free paths. It also complicates the path planning process, however, by not being constrained to a 2D environment. A hierarchical structure of path planning is developed to decompose the three-dimensional path planning problem into several two-dimensional sub-problems.

High Resolution Microscopy of Multi-Layered Biological Crystals

1982 ◽  
Vol 40 ◽  
pp. 80-83
Author(s):  
H.A. Cohen ◽  
T.W. Jeng ◽  
W. Chiu
Keyword(s):  
High Resolution ◽  
Low Dose ◽  
Three Dimensional ◽  
Data Interpretation ◽  
Two Dimensional ◽  
Biological Objects ◽  
Density Maps ◽  
Density Map ◽  
Complex Crystal ◽  
High Resolution Microscopy

This tutorial will discuss the methodology of low dose electron diffraction and imaging of crystalline biological objects, the problems of data interpretation for two-dimensional projected density maps of glucose embedded protein crystals, the factors to be considered in combining tilt data from three-dimensional crystals, and finally, the prospects of achieving a high resolution three-dimensional density map of a biological crystal. This methodology will be illustrated using two proteins under investigation in our laboratory, the T4 DNA helix destabilizing protein gp32*I and the crotoxin complex crystal.

Instrumentation For Quantitative Microscopy

1977 ◽  
Vol 35 ◽  
pp. 206-209
Author(s):  
B. Ralph ◽  
A.R. Jones
Keyword(s):  
Volume Fraction ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Automatic Data ◽  
Phase Volume Fraction ◽  
Statistical Confidence ◽  
Resultant Data ◽  
Automatic Data Collection ◽  
Third Dimension ◽  
Evolution Of Microstructure

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.

A linearity test for thick specimens imaged by HVEM over a 180° angular range

1991 ◽  
Vol 49 ◽  
pp. 552-553
Author(s):  
Yu Liu
Keyword(s):  
Phase Contrast ◽  
Three Dimensional ◽  
Angular Range ◽  
Two Dimensional ◽  
Back Projection ◽  
Line Integral ◽  
Exponential Law ◽  
Transmission Electron ◽  
Absorption Law ◽  
Linearity Test

The image obtained in a transmission electron microscope is the two-dimensional projection of a three-dimensional (3D) object. The 3D reconstruction of the object can be calculated from a series of projections by back-projection, but this algorithm assumes that the image is linearly related to a line integral of the object function. However, there are two kinds of contrast in electron microscopy, scattering and phase contrast, of which only the latter is linear with the optical density (OD) in the micrograph. Therefore the OD can be used as a measure of the projection only for thin specimens where phase contrast dominates the image. For thick specimens, where scattering contrast predominates, an exponential absorption law holds, and a logarithm of OD must be used. However, for large thicknesses, the simple exponential law might break down due to multiple and inelastic scattering.

An Image Reconstruction System Applied to High Voltage Microscopy

1975 ◽  
Vol 33 ◽  
pp. 292-293
Author(s):  
D. E. Johnson
Keyword(s):  
High Voltage ◽  
Prior Information ◽  
Block Diagram ◽  
Three Dimensional ◽  
Real Space ◽  
Two Dimensional ◽  
Efficient Manner ◽  
Fourier Methods ◽  
Tilt Series ◽  
Methods Of Reconstruction

Increased specimen penetration; the principle advantage of high voltage microscopy, is accompanied by an increased need to utilize information on three dimensional specimen structure available in the form of two dimensional projections (i.e. micrographs). We are engaged in a program to develop methods which allow the maximum use of information contained in a through tilt series of micrographs to determine three dimensional speciman structure.In general, we are dealing with structures lacking in symmetry and with projections available from only a limited span of angles (±60°). For these reasons, we must make maximum use of any prior information available about the specimen. To do this in the most efficient manner, we have concentrated on iterative, real space methods rather than Fourier methods of reconstruction. The particular iterative algorithm we have developed is given in detail in ref. 3. A block diagram of the complete reconstruction system is shown in fig. 1.

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