Artificial Intelligence for Future Generation Robotics

Artificial Intelligence for Future Generation Robotics book cover

Artificial Intelligence for Future Generation Robotics

Author(s): Rabindra Nath Shaw (Editor), Ankush Ghosh (Editor), Valentina Emilia Balas (Editor), Monica Bianchini (Editor)

  • Publisher: Elsevier
  • Publication Date: 1 July 2021
  • Language: English
  • Print length: 178 pages
  • ISBN-10: 0323854982
  • ISBN-13: 9780323854986

Book Description

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics 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 that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation.

  • Brings AI and smart robotics into imaginative, technically-informed dialogue
  • Integrates fundamentals with real-world applications
  • Presents potential applications for AI in smart robotics by use-case
  • Gives detailed theory and mathematical calculations for each application
  • Stimulates new thinking and research in applying AI to robotics

Editorial Reviews

Review

Helps readers imagine the future of smart robotics using Artificial Intelligence (AI)

From the Back Cover

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.

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