PSO Based Path Planning of a Six-Axis Industrial Robot

2019 ◽  
pp. 213-220 ◽  
Author(s):  
Supriya Sahu ◽  
B. B. Choudhury
Keyword(s):  
Path Planning ◽  
Industrial Robot

An improved A* algorithm for the industrial robot path planning with high success rate and short length

2018 ◽  
Vol 106 ◽  
pp. 26-37 ◽  
Author(s):  
Bing Fu ◽  
Lin Chen ◽  
Yuntao Zhou ◽  
Dong Zheng ◽  
Zhiqi Wei ◽  
...  
Keyword(s):  
Path Planning ◽  
Success Rate ◽  
Industrial Robot ◽  
Short Length ◽  
High Success Rate ◽  
Robot Path Planning ◽  
A Algorithm ◽  
Robot Path

Path planning for laser scanning with an industrial robot

2008 ◽  
Vol 56 (7) ◽  
pp. 615-624 ◽  
Author(s):  
Sören Larsson ◽  
J.A.P. Kjellander
Keyword(s):  
Path Planning ◽  
Laser Scanning ◽  
Industrial Robot

On-line near minimum-time path planning and control of an industrial robot for picking fruits

2004 ◽  
Vol 44 (3) ◽  
pp. 223-237 ◽  
Author(s):  
L.G. Van Willigenburg ◽  
C.W.J. Hol ◽  
E.J. van Henten
Keyword(s):  
Path Planning ◽  
Industrial Robot ◽  
Minimum Time ◽  
Time Path ◽  
Planning And Control ◽  
On Line ◽  
And Control

An Optimal Image Processing Method for Simultaneous Detection of Weld Seam Position and Weld Gap in Robotic Arc Welding

2020 ◽  
pp. 1341-1357
Author(s):  
Amruta Rout ◽  
Deepak BBVL ◽  
Bibhuti Bhusan Biswal ◽  
Golak Bihari Mahanta ◽  
Bala Murali Gunji
Keyword(s):  
Image Processing ◽  
Path Planning ◽  
Edge Detection ◽  
Weld Seam ◽  
Industrial Robot ◽  
Simultaneous Detection ◽  
Seam Tracking ◽  
Robotic Welding ◽  
Labview Software ◽  
Edge Detection Method

For robot path planning the weld seam positions need to be known in advance as the industrial robot generally work in teach and playback mode. In this paper, a vision sensor has been utilized for automation of robotic welding path planning. A seam tracking algorithm has been proposed for a butt type of weld joint with varying weld gap for effective measurement of weld path positions and weld gap simultaneously. For this first an image acquisition algorithm technique has been proposed for capturing of image of weld seam in gray scale mode. Then in image processing at first one pattern matching algorithm for tracking of weld seam path is performed. Then different edge detection techniques have been applied to find the most efficient edge detection method for obtaining the characteristics of weld seam edge. Then best edge fitting method has been applied to fit the edges along the weld seam edge and the pixel values on the edges were measured. The weld gap and the midpoint between edges points are measured simultaneously by vision assistant toolbox in LabVIEW software background.

Fuzzy Logic Based Path Planning for Industrial Robot

2020 ◽  
pp. 355-364
Author(s):  
Supriya Sahu ◽  
Bibhuti Bhusan Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Control System ◽  
Path Planning ◽  
Industrial Robot ◽  
Industrial Robots ◽  
The Other ◽  
Membership Functions ◽  
Fuzzy Logic Systems ◽  
Pick And Place

This article describes how industrial robots are generally used to perform different tasks in industries, such as pick and place, and many more operations in industries. Among these, pick and place is a very common and frequently used task. Path planning is the most important thing in order to make any process more economical. The main focus of the research is to design a fuzzy control system for path planning for industrial robots using artificial intelligence using fuzzy logic. For the analysis, ten different tasks are tested. For fuzzy logic systems, three membership functions are analyzed and compared to find the best result. From the research, it has been found that a Gaussian membership function gives more accurate result in comparison to the other two membership functions.

scholarly journals Path Planning of Industrial Robot Based on Improved RRT Algorithm in Complex Environments

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 53296-53306 ◽  
Author(s):  
Haojian Zhang ◽  
Yunkuan Wang ◽  
Jun Zheng ◽  
Junzhi Yu
Keyword(s):  
Path Planning ◽  
Industrial Robot ◽  
Complex Environments
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