Robotic Welding, Intelligence and Automation _ Lecture Notes in Control and Information Sciences pdf.
Robotic Welding, Intelligence and Automation _ Lecture Notes in Control and Information Sciences.
Robotic welding systems can be used in all 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. To develop an intelligent robotic welding system that can accomplish useful tasks without human intervention and perform in the unmodified real-world situations that usually involve unstructured environments and large uncertainties, the robots should be capable of determining all the possible actions in an unpredictable dynamic environment using information from various sensors such as computer vision, tactile sensing, ultrasonic and sonar sensors, and other smart sensors. From the existing successful applications, it can be concluded that emerging intelligent techniques can enhance and extend traditional robotic welding.
This volume is mainly based on the papers selected from the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2010), Oct. 14–16, 2010, Shanghai, China. We have also invited some known authors as well as announced a formal Call for Papers to several research groups related to welding robotics and intelligent systems to contribute the latest progress and recent trends and research results in this field. The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation.
The volume is divided into four logical parts containing twenty-five papers. In Part 1 (14 papers), the authors deal with some intelligent techniques for robotic welding. In Part 2 (16 papers), the authors introduce the Sensing of Arc Welding Processing. Various applications such as vision sensing and control of welding process are discussed. In Part 3 (9 papers), the authors describe their work on Modeling and Intelligent Control of Welding Processing. In Part 4 (8 papers), the authors exhibit their works on Welding Technics and Automations. In Part 5 (8 papers), the authors introduce some Special Robot Technology and Systems. Finally, in Part 6 (4 papers), the authors introduce some emerging intelligent techniques and their applications, which may contribute significantly to the further development of intelligent robotic welding systems.
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