{"product_id":"9789819585816","title":"Robot Evolution From Evolutionary Robotics to Physical AI","description":"\u003ch3\u003eNatural Computing Series\u003c\/h3\u003e\u003ch1\u003eRobot Evolution\u003c\/h1\u003e\u003ch2\u003eFrom Evolutionary Robotics to Physical AI\u003c\/h2\u003e\u003ch3\u003eA.E. Eiben | Karine Miras | Emma Hart\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Computer Science\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eThis book synthesizes the state of the art in the science and technology of robot evolution. It explores the principle “\u003cem\u003eIf evolution can create intelligence, artificial evolution can create artificial intelligence”.\u003c\/em\u003e It centers on embodied AI, where intelligence emerges from the interaction between a physical body and its environment, as exemplified by robots. The long-term vision is a new class of intelligent machines that evolve, learn, and improve both their bodies and their brains ‘on the job’.\u003c\/p\u003e\r\n\u003cp\u003eDesigned as both an accessible entry point for students and a comprehensive reference for experts, the book is rich in case studies, design patterns, and adaptable algorithmic recipes that readers can reuse and extend. Written as a didactic guide, it supports both self-study and teaching. To bridge theory and practice, the book is accompanied by open-source software for experimentation, prototyping, and reproducible research.\u003c\/p\u003e\r\n\u003cp\u003eStudents in artificial intelligence, computer science, robotics, and related fields will find this volume a clear and structured introduction, while researchers, AI experts, roboticists, and biologists can use it as a valuable reference work and an inspiration for their research.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eAgoston E. Eiben\u003c\/strong\u003e is Professor of Computational Intelligence at Vrije Universiteit Amsterdam. He is a world-leading expert in evolutionary computing and evolutionary robotics, and (co-)author of the best-selling \u003cem\u003eIntroduction to Evolutionary Computing\u003c\/em\u003e. His current research explores robots that can reproduce, evolve, and learn. He has published in leading venues such as \u003cem\u003eNature\u003c\/em\u003e, \u003cem\u003eScience Robotics\u003c\/em\u003e, and \u003cem\u003eNature Machine Intelligence\u003c\/em\u003e, and his work has received extensive international media coverage in more than ten countries. His long-term goal is to show how artificial evolution can yield physical artificial intelligence, and to deepen our understanding of the interplay between the body and the brain.\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003eKarine Miras\u003c\/strong\u003e is an Assistant Professor of Computational Intelligence at Vrije Universiteit Amsterdam, working at the intersection of Evolutionary Robotics and Artificial Life. Her research has the goal of advancing autonomous systems and also deepening our understanding of biological evolution. At the core of her work is exploring how environments shape the traits of evolving creatures, and how developmental processes can be embedded directly into the genetic architectures of artificial life forms. “I’m interested in understanding what allows for the evolution of complex life through the study of artificial life”.\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003eEmma Hart\u003c\/strong\u003e is a Professor of Computational Intelligence at Edinburgh Napier University, Scotland, UK. Her research interests lie in the cross-cutting areas of evolutionary robotics, artificial intelligence, and optimisation, with a particular focus on combining methods from evolutionary computing and machine-learning to develop systems that learn autonomously over time and improve their own performance with experience, whether in robotics or in solving real-world optimisation problems.  She is Fellow of the Royal Society of Edinburgh, and a Senior Member of ACM.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e18 July 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819585816\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e220\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":46265561677964,"sku":"9789819585816","price":71.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819585816.jpg?v=1781056981","url":"https:\/\/lateknightbooks.com\/products\/9789819585816","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}