Robotic welding on tube nodes

2019 ◽  
Vol 2019 (1) ◽  
pp. 44-49
Author(s):  
S. Keitel ◽  
◽  
U. Mückenheim ◽  
U. Wolski ◽  
S. Lotz ◽  
...  
Keyword(s):  
Robotic Welding

377. Development of a Novel Robotic Welding Fume Inhalation and Exposure System

2004 ◽  
Author(s):  
A. Afshari ◽  
J. Antonini ◽  
S. Stone ◽  
G. Fletcher ◽  
V. Castranova ◽  
...  
Keyword(s):  
Welding Fume ◽  
Robotic Welding ◽  
Exposure System

Visual Robotic Welding System

2016 ◽  
Vol 85 (7) ◽  
pp. 657-662
Author(s):  
Satoshi YAMANE
Keyword(s):  
Robotic Welding ◽  
Welding System

Developing a Kinematic Estimation Model for a Climbing Mobile Robotic Welding System

2010 ◽  
Author(s):  
Aaron T. O’Toole ◽  
Stephen L. Canfield
Keyword(s):  
Kinematic Model ◽  
Robotic Welding ◽  
Estimation Model ◽  
Mobile Platforms ◽  
Low Profile ◽  
Turning Radius ◽  
Equivalence Model ◽  
Kinematic Equivalence ◽  
Welding System ◽  
Robot Platform

Skid steer tracked-based robots are popular due to their mechanical simplicity, zero-turning radius and greater traction. This architecture also has several advantages when employed by mobile platforms designed to climb and navigate ferrous surfaces, such as increased magnet density and low profile (center of gravity). However, creating a kinematic model for localization and motion control of this architecture is complicated due to the fact that tracks necessarily slip and do not roll. Such a model could be based on a heuristic representation, an experimentally-based characterization or a probabilistic form. This paper will extend an experimentally-based kinematic equivalence model to a climbing, track-based robot platform. The model will be adapted to account for the unique mobility characteristics associated with climbing. The accuracy of the model will be evaluated in several representative tasks. Application of this model to a climbing mobile robotic welding system (MRWS) is presented.

Hybrid offline programming method for robotic welding systems

2022 ◽  
Vol 73 ◽  
pp. 102238
Author(s):  
Chen Zheng ◽  
Yushu An ◽  
Zhanxi Wang ◽  
Haoyu Wu ◽  
Xiansheng Qin ◽  
...  
Keyword(s):  
Programming Method ◽  
Robotic Welding ◽  
Offline Programming

Optimal Robotic Assembly Planning Using Dijkstra’s Algorithm

1994 ◽  
Author(s):  
Sam Anand ◽  
Mohamed Sabri
Keyword(s):  
Configuration Space ◽  
Material Handling ◽  
Search Algorithm ◽  
Robotic Manipulators ◽  
Robotic Assembly ◽  
Graph Search ◽  
Assembly Planning ◽  
Robotic Welding ◽  
Fast Collision ◽  
Space Approach

Abstract Robots play an important role in the modern factory and are used in a manufacturing cell for several functions such as assembly, material handling, robotic welding, etc. One of the principal problems faced by robots while performing their tasks is the presence of obstacles such as fixtures, tools, and objects in the robot workspace. Such objects could result in a collision with one of the arms of the robots. Fast collision-free motion planning algorithms are therefore necessary for robotic manipulators to operate in a wide variety of changing environments. The configuration space approach is one of the widely used methods for collision-free robotic path planning. This paper presents a novel graph-based method of searching the configuration space for a collision-free path in a robotic assembly operation. Dijkstra’s graph search algorithm is used for optimizing the joint displacements of the robot while performing the assembly task. The methodology is illustrated using a simple robotic assembly planning task.

Simulation of Positioning Accuracy of the Torch in Adaptive Robotic Welding System

1987 ◽  
Vol 20 (12) ◽  
pp. 293-298
Author(s):  
M. Kvasnica ◽  
Š. Petráš ◽  
I. Kočiš
Keyword(s):  
Robotic Welding ◽  
Positioning Accuracy ◽  
Welding System

Automated Programming for Robotic Welding

2017 ◽  
pp. 48-59 ◽  
Author(s):  
Nathan Larkin ◽  
Andrew Short ◽  
Zengxi Pan ◽  
Stephen van Duin
Keyword(s):  
Robotic Welding ◽  
Automated Programming
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