LEADER 03773nam 22006135 450 001 9911049075403321 005 20260102122940.0 010 $a981-9543-60-6 024 7 $a10.1007/978-981-95-4360-1 035 $a(CKB)44770000100041 035 $a(MiAaPQ)EBC32484354 035 $a(Au-PeEL)EBL32484354 035 $a(DE-He213)978-981-95-4360-1 035 $a(EXLCZ)9944770000100041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobotic Vision $eFrom Deep Learning to Autonomous Systems /$fby Wei Qi Yan 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (237 pages) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6594 311 08$a981-9543-59-2 327 $aChapter 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. 330 $aRobotic vision represents the cutting edge of modern computing, combining artificial intelligence, deep learning, and advanced robotics to enable intelligent machines. As universities worldwide pivot from conventional machine learning to robotic vision, this book serves as an essential guide for researchers, educators, and students entering this transformative field. This comprehensive resource introduces core topics such as humanoid and arm-type robots, robotic image processing, stereo vision, 3D reconstruction, scene understanding, and vision-based control. Advanced algorithms, including Kalman filters, imitation learning, inverse reinforcement learning, diffusion transformers, and multimodal approaches, are explored in depth. Practical applications are seamlessly integrated with theoretical knowledge, offering lab-based exercises and discussions to enhance hands-on learning. Readers will gain unique insights into robotic navigation and planning, visual servoing, federated learning, and cutting-edge techniques like the ?third eye algorithm? and camera retreat. Designed for accessibility, the book assumes no prerequisites beyond foundational courses in machine learning and deep learning, making it suitable for diverse audiences. With its structured learning approach and emphasis on both foundational principles and emerging innovations, this book is an indispensable tool for mastering robotic vision. Whether readers aim to advance research, develop autonomous systems, or integrate AI-driven robotics into real-world applications, this book provides the knowledge and skills to succeed. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6594 606 $aComputer vision 606 $aRobotics 606 $aMachine learning 606 $aPattern recognition systems 606 $aComputer Vision 606 $aRobotics 606 $aMachine Learning 606 $aAutomated Pattern Recognition 615 0$aComputer vision. 615 0$aRobotics. 615 0$aMachine learning. 615 0$aPattern recognition systems. 615 14$aComputer Vision. 615 24$aRobotics. 615 24$aMachine Learning. 615 24$aAutomated Pattern Recognition. 676 $a006.37 700 $aYan$b Wei Qi$0994732 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049075403321 996 $aRobotic Vision$94531317 997 $aUNINA