<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><i>Cognitive Computing for Human-Robot Interaction: Principles and Practices</i> explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications.</p> <p>This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human-robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications.</p> <p>This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning.</p> <p>Key features: </p> <ul> <p> <li>Introduces several new contributions to the representation and management of humans in autonomous robotic systems;</li> <li>Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society;</li> <li>Engages with the potential repercussions of cognitive computing and HRI in the real world.</li> </ul>
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