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.
Autorius: | Abdullah Aamir Hayat, Shraddha Chaudhary, Riby Abraham Boby, Santanu Chaudhury, Sumantra Dutta Roy, Subir Kumar Saha, Arun Dayal Udai, |
Serija: | Studies in Systems, Decision and Control |
Leidėjas: | Springer Nature Singapore |
Išleidimo metai: | 2022 |
Knygos puslapių skaičius: | 220 |
ISBN-10: | 9811669899 |
ISBN-13: | 9789811669897 |
Formatas: | 241 x 160 x 18 mm. Knyga kietu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Vision Based Identification and Force Control of Industrial Robots“