Vision Based Identification and Force Control of Industrial Robots

This book focuses on end-to-end robotic applications using vision and control algorithms, demonstrating sensor fusion and system identification techniques for sensors-guided robotic bin-picking and assembly in an unstructured environment. It provides a balance between theory and technology and is valuable for researchers and beginners in vision- and force control-based robotics.

Format: Paperback / softback
Length: 196 pages
Publication date: 23 March 2023
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of end-to-end robotic applications, utilizing vision and control algorithms to create innovative solutions for sensors-guided robotic bin-picking and assembly in unstructured environments. Through a detailed exploration of sensor fusion, the book showcases its application in a bin-picking task involving texture-less cylindrical objects. Additionally, it delves into system identification techniques, which are crucial for obtaining precise kinematic and dynamic parameters of industrial robots. These parameters enable the development of control schemes that enable autonomous pick-and-place tasks without user intervention. What sets this book apart is its judicious blend of theory and technology within the context of industrial applications. It is an invaluable resource for researchers and beginners alike, as it covers both the fundamental principles and cutting-edge research strategies in the field of vision- and force control-based robotics. By providing a comprehensive overview, this book equips readers with the knowledge and tools necessary to advance their understanding and contributions to this rapidly evolving interdisciplinary domain.

Weight: 343g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811669927
Edition number: 1st ed. 2022