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Book synopsis

Artificial Intelligence (AI) is becoming entwined in the expansion of automation, and robotics are becoming a key area of AI application. The current decade is witnessing growth in automation, and the rapid advance of underpinning technologies and applications, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context-aware applications. Smart robots - connected machines with a wide range of capabilities - are becoming integral to smart systems, including smart homes, public spaces, and hospitals. Foundational theory is critical to both fields, but realizing novel AI applications in robotics means combining theory with a focus on imagining future applications, based on the latest technical knowledge in the field. Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. The book focuses on the future, by covering potential novel applications chapter-by-chapter. Each chapter includes theory and mathematics, so as to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases in combining AI with smart robotics. Brings AI and smart robotics into imaginative, technically-informed dialogueIntegrates fundamentals with real-world applicationsPresents potential applications for AI in smart robotics by use-caseGives detailed theory and mathematical calculations for each applicationStimulates new thinking and research in applying AI to robotics

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Full title: Artificial Intelligence for Future Generation Robotics
• Author: Valentina Balas, Monica Bianchini, Ankush Ghosh, Rabindra Shaw
• Language: English
• Binding: Paperback
• Number of pages: 178
• EAN: 9780323854986
• ID: 33475880
• Publisher: Elsevier - Health Sciences Division
• Weight: 290 g
• Dimensions: 229 × 152 × 10 mm
• Date of publishing: 07. July 2021

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