Cognitive Computing for Human-Robot Interaction

Artificial intelligence advances have led to robots endowed with increasingly sophisticated social abilities. These machines speak to our innate desire to perceive social cues in the environment and the promise of robots enhancing our daily lives. Human-robot interaction is a growing field currently in a phase of unrest. Cognitive Computing for Human-Robot Interaction: Principles and Practices 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. This book discusses each of these abilities, presents working implementations, and combines coherent and original deliberative architecture for human-robot interaction. Supported by experimental results, it shows how explicit knowledge management proves to be instrumental to richer and more natural human-robot interactions by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. Introduces several new contributions to the representation and the management of humans in an autonomous robotic systemExplores cognitive computing, robots, and HRI, a more in-depth understanding to make the robots better for societyGives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario