Vision Based Identification and Force Control of Industrial Robots (Studies in Systems, Decision and Control, 404)

This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment. The use of sensor fusion is demonstrated through a bin-picking task of texture-less cylindrical objects. The system identification techniques are also discussed for obtaining precise kinematic and dynamic parameters of an industrial robot which facilitates the control schemes to perform pick-and-place tasks autonomously without any interference from the user. The uniqueness of this book lies in a judicious balance between theory and technology within the context of industrial application. Therefore, it will be valuable to researchers working in the area of vision- and force control- based robotics, as well as beginners in this inter-disciplinary area, as it deals with the basics and technologically advanced research strategies.

• | Author: Abdullah Aamir Hayat, Shraddha Chaudhary, Riby Abraham Boby, Arun Dayal Udai, Sumantra Dutta Roy, Subir Kumar Saha, Santanu Chaudhury
• | Publisher: Springer
• | Publication Date: Apr 22, 2022
• | Number of Pages: 217 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 9811669899
• | ISBN-13: 9789811669897