00988nam--2200325---450 99000240448020331620200513090122.088-435-2168-3000240448USA01000240448(ALEPH)000240448USA0100024044820050302d1986----km-y0itay0103----baitaITa---||||001yyCapolavori impressionistidei musei americaniMilanoElecta1986113 p.ill.29 cmCatalogo della mostra omonima : Napoli, Museo di Capodimonte, dicembre 1986-febbraio 1987Milano, Pinacoteca di Brera, marzo-maggio 1987ImpressionismoCataloghi di esposizioniBNCF709.0344ITsalbcISBD990002404480203316XVII A. 26126287 DLASXVII A.391961BKCASCapolavori impressionisti1065404UNISA03773nam 22006135 450 991104907540332120260102122940.0981-9543-60-610.1007/978-981-95-4360-1(CKB)44770000100041(MiAaPQ)EBC32484354(Au-PeEL)EBL32484354(DE-He213)978-981-95-4360-1(EXLCZ)994477000010004120260102d2026 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRobotic Vision From Deep Learning to Autonomous Systems /by Wei Qi Yan1st ed. 2026.Singapore :Springer Nature Singapore :Imprint: Springer,2026.1 online resource (237 pages)Advances in Computer Vision and Pattern Recognition,2191-6594981-9543-59-2 Chapter 1. Introduction to Robotic Vision -- Chapter 2. Robotics -- Chapter 3. Image Processing for Robotics -- Chapter 4. Stereo Vision and 3D Reconstruction -- Chapter 5. Deep Learning for Robotic Vision -- Chapter 6. Robotic Perception and Intelligence -- Chapter 7. Vision-Based Robotic Control -- Chapter 8. Computational Tools for Robotic Vision.Robotic vision represents the cutting edge of modern computing, combining artificial intelligence, deep learning, and advanced robotics to enable intelligent machines. As universities worldwide pivot from conventional machine learning to robotic vision, this book serves as an essential guide for researchers, educators, and students entering this transformative field. This comprehensive resource introduces core topics such as humanoid and arm-type robots, robotic image processing, stereo vision, 3D reconstruction, scene understanding, and vision-based control. Advanced algorithms, including Kalman filters, imitation learning, inverse reinforcement learning, diffusion transformers, and multimodal approaches, are explored in depth. Practical applications are seamlessly integrated with theoretical knowledge, offering lab-based exercises and discussions to enhance hands-on learning. Readers will gain unique insights into robotic navigation and planning, visual servoing, federated learning, and cutting-edge techniques like the “third eye algorithm” and camera retreat. Designed for accessibility, the book assumes no prerequisites beyond foundational courses in machine learning and deep learning, making it suitable for diverse audiences. With its structured learning approach and emphasis on both foundational principles and emerging innovations, this book is an indispensable tool for mastering robotic vision. Whether readers aim to advance research, develop autonomous systems, or integrate AI-driven robotics into real-world applications, this book provides the knowledge and skills to succeed.Advances in Computer Vision and Pattern Recognition,2191-6594Computer visionRoboticsMachine learningPattern recognition systemsComputer VisionRoboticsMachine LearningAutomated Pattern RecognitionComputer vision.Robotics.Machine learning.Pattern recognition systems.Computer Vision.Robotics.Machine Learning.Automated Pattern Recognition.006.37Yan Wei Qi994732MiAaPQMiAaPQMiAaPQBOOK9911049075403321Robotic Vision4531317UNINA