This book provides a forward-looking roadmap for developing AI-powered robots that can transfer knowledge, skills, and behaviors across different platforms, tasks, and environments. Combining cutting-edge research with practical case studies, it introduces the emerging concept of transferable robotics, offering new frameworks, benchmarking methods, foundation model integration, and interoperable architectures to accelerate the deployment of adaptable, general-purpose robotic systems.
 
Covering topics from transfer learning and embodied AI to human-centered design, industrial applications, and European research initiatives, the book bridges theory and practice while addressing technical, ethical, and societal challenges. It is an essential resource for researchers, students, engineers, AI and robotics developers, and innovation professionals seeking to advance intelligent, scalable, and trustworthy robotics for manufacturing, healthcare, logistics, and other real-world applications.