Cognitive Robotics Book Cover

Cognitive Robotics

by Angelo Cangelosi and Minoru Asada

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About Cognitive Robotics

The Current State of the Art in Cognitive Robotics

Cognitive Robotics represents the most comprehensive examination of building AI-powered intelligent robots inspired by natural cognitive systems. This groundbreaking work, published by MIT Press in 2022, offers the first complete coverage of a field that combines insights from artificial intelligence, cognitive science, and biological systems to create robots that develop intelligence through embodied interaction with their environment.

This 456-page volume reports on the current state of the art in cognitive robotics, taking a novel approach that draws inspiration from how natural cognitive systems in humans, animals, and biological systems develop intelligence. Rather than traditional top-down programming approaches, this field exploits the full power of interactions between body and brain, the physical and social environment, and phylogenetic, developmental, and learning dynamics.

More than an academic survey, Cognitive Robotics serves as both a comprehensive reference for researchers and an accessible introduction for interdisciplinary audiences. The editors have carefully balanced technical details and examples for computational readers with theoretical and experimental findings for empirical scientists, making this complex field approachable to a wide range of professionals and students.

Key Themes

  • Five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics
  • Cognitive robotics platforms and robot simulators
  • Biomimetic approaches and hardware-based solutions
  • Machine learning methods and cognitive architecture
  • Intrinsic motivation and autonomous learning systems
  • Human-robot interaction and social cognition
  • Robot consciousness and perception systems
  • Embodied intelligence and sensorimotor development

These principles are particularly relevant in our era of advancing AI and robotics. As we move toward more sophisticated autonomous systems that must operate in complex, unpredictable environments, the insights from cognitive robotics provide essential guidance for developing robots that can truly understand and adapt to the world around them, much like biological systems do.

About the Authors

Angelo Cangelosi is Professor of Machine Learning and Robotics at the University of Manchester (UK) and co-director of the Manchester Centre for Robotics and AI. He is also a Turing Fellow at the Alan Turing Institute London, Visiting Professor at Hohai University, and Visiting Distinguished Fellow at AIST-AIRC Tokyo. His research interests span cognitive and developmental robotics, language grounding, human-robot interaction and trust, and robot companions for health and social care. Cangelosi is Editor of the journals Interaction Studies and IET Cognitive Computation and Systems, and previously served as Editor-in-Chief of IEEE Transactions on Autonomous Development.

Minoru Asada is Vice-President of International Professional University of Technology in Osaka, and Specially Appointed Professor in the Institute for Open and Transdisciplinary Research Initiatives at Osaka University. His pioneering work in cognitive robotics has helped establish the field's foundational principles and methodological approaches.

Together, Cangelosi and Asada have assembled contributions from leading researchers worldwide to create what Jay McClelland, Director of the Center for Mind, Brain, Computation and Technology at Stanford University, calls "a comprehensive, contemporary overview of the field of cognitive robotics, an approach to understanding intelligence ripe for explosive growth."

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