Research Evolution on Intelligentized Technologies for Robotic Welding at SJTU

Author(s):  
S. B. Chen
Keyword(s):  
2004 ◽  
Author(s):  
A. Afshari ◽  
J. Antonini ◽  
S. Stone ◽  
G. Fletcher ◽  
V. Castranova ◽  
...  

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

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

Author(s):  
Aaron T. O’Toole ◽  
Stephen L. Canfield

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.


2022 ◽  
Vol 73 ◽  
pp. 102238
Author(s):  
Chen Zheng ◽  
Yushu An ◽  
Zhanxi Wang ◽  
Haoyu Wu ◽  
Xiansheng Qin ◽  
...  

Author(s):  
Sam Anand ◽  
Mohamed Sabri

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.


1987 ◽  
Vol 20 (12) ◽  
pp. 293-298
Author(s):  
M. Kvasnica ◽  
Š. Petráš ◽  
I. Kočiš

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