Behavioral and Cognitive Robotics: An adaptive perspective

· Stefano Nolfi
4.0
4 reviews
Ebook
284
Pages
Eligible
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About this ebook

This book describes how to create robots capable to develop the behavioral and cognitive skills required to perform a task through machine learning methods. It focuses on model-free approaches with minimal human intervention in which the behavior used by the robots to solve their task and the way in which such behavior is produced is discovered by the adaptive process automatically, i.e. it is not specified by the experimenter. The book, which is targeted toward researchers, PhD and Master students with an interest in machine learning and robotics: (i) introduces autonomous robots, evolutionary algorithms, reinforcement learning algorithms, and learning by demonstration methods, (ii) uses concrete experiments to illustrate the fundamental aspects of embodied intelligence, (iii) provides theoretical and practical knowledge, including tutorials and exercises, and (iv) provides an integrated review of recent research in this area carried within partially separated research communities.  

Ratings and reviews

4.0
4 reviews
David Garzón Ramos
June 2, 2021
The book introduces state-of-the-art approaches to the realization of robots whose behavior and/or morphology is produced with little (or even non) human intervention. I believe that the book is a good starting point to the design of robot software (and to some extend the hardware) by using automatic and semi-automatic methods (e.g. neuroevolution, reinforcement learning, deep learning, among others). I found very useful that complex concepts such as robot cognition, embodied intelligence, and the emergence of communication and collective behaviors are largely illustrated with examples and multi-media. I totally recommend this book to students, academics, and public interested in applications of machine learning for robotics.
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Ashish usendi
January 28, 2022
nice books
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j j
April 3, 2023
very good
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About the author

Stefano Nolfi is a research director of the Institute of Cognitive Sciences and Technologies of the Italian National Research Council and head of the Laboratory of Autonomous Robots and Artificial Life. He conducted pioneering research in Artificial Life and is one of the founders of Evolutionary Robotics. His main research interest is in study of how embodied and situated agents can develop behavioural and cognitive skills autonomously by adapting to their task/environment. Stefano authored and co-authored more than 200 peer-review scientific publications including a monograph book on Behavioral and Cognitive Robotics (2021), an edited book on Evolution of Communication and Language in Embodied Agents published by Springer Verlag (2010), and a monograph book on Evolutionary Robotics published by MIT (2000). He coordinated and participated to several international research projects including the Hierarchical Heterogeneous Swarm project (H2Swarm, Project Coordinator) founded by the European Science Foundation and to the following projects founded by the European Commission: (i) Transfer of Action and Language Knowledge in Robots (I-TALK, Principal Investigator), (ii) Towards Humanoid Robotic Swarms (SWARMANOID, Node Coordinator), (iii) Embodied and Communicating Agents (ECAgents, Principal Investigator), and (iv) Swarms of Self-Assembling Artifacts (SWARM-BOTS, Principal Investigator).

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