Robotic welding systems have been used in different types of manufacturing. They can
provide several benefits in welding applications. The most prominent advantages of
robotic welding are precision and productivity. Another benefit is that labor costs can be
reduced. Robotic welding also reduces risk by moving the human welder/operator away
from hazardous fumes and molten metal close to the welding arc. The robotic welding
system usually involves measuring and identifying the component to be welded, welding
it in position, controlling the welding parameters and documenting the produced
welds. However, traditional robotic welding systems rely heavily upon human intervention.
It does not seem that the traditional robotic welding techniques by themselves can
cope well with uncertainties in the welding surroundings and conditions, e.g. variation
of weld pool dynamics, fluxion, solid, weld torch, and etc. On the other hand, the advent
of intelligent techniques provides us with a powerful tool for solving demanding realworld
problems with uncertain and unpredictable environments. Therefore, it is interesting
to gather current trends and to provide a high quality forum for engineers and
researchers working in the filed of intelligent techniques for robotic welding systems.
This volume brings together a broad range of invited and contributed papers that
describe recent progress in this field.