Advances in Computational Vision and Robotics

Springer, 2025

This book highlights the transformative impact of these technologies in shaping the future of automation and intelligent systems. By integrating computational vision and robotics into various sectors, these advancements enable smarter decision-making, seamless human-machine interactions, and enhanced efficiency in dynamic environments. Future applications include autonomous systems in transportation, intelligent surveillance, and robotic healthcare solutions, creating more responsive and adaptive systems that align with the evolving needs of society. This book provides an insight into the latest innovations and state-of-the-art research in the fields of computational vision and robotics, showcasing their potential to revolutionize industries such as manufacturing, agriculture, logistics, and disaster management. It spans a diverse array of topics, including: Computational vision and AI applications. Advanced image processing and recognition techniques. Intelligent systems and interaction. By merging cutting-edge theoretical insights with practical applications, this book provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of computational vision and robotics. Computational vision and robotics highlighted the transformative potential of computational vision and robotics in revolutionizing industries and enhancing quality of life. These technologies drive efficiency and precision through automation and intelligent systems, reshaping sectors such as manufacturing, logistics, and agriculture. In healthcare, computational vision powers advanced diagnostic tools and surgical robotics, while robotics fosters personalized assistance and rehabilitation solutions. Additionally, the integration of these technologies in smart cities and innovative infrastructures offers smarter, safer, and more sustainable urban living environments.

• Curatore: George A. Tsihrintzis, Roumiana Kountcheva, Margarita N. Favorskaya, Srikanta Patnaik
• Anno edizione: 2025
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783031859526