Cognitive Computing for Human-Robot Interaction: Principles and Practices

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts to enable robots to provide economical and sustainable computing applications, presenting working implementations and a coherent deliberative architecture for human-robot interactions. It will be of interest to academics, postgraduate students, and researchers in artificial intelligence and machine learning.

Format: Paperback / softback
Length: 418 pages
Publication date: 18 August 2021
Publisher: Elsevier Science & Technology

Cognitive Computing for Human-Robot Interaction: Principles and Practices delves into the ongoing endeavors aimed at harnessing the immense potential of robots to deliver cost-effective and environmentally sustainable computing solutions. This comprehensive book explores a wide range of applications, presents practical implementations, and integrates a coherent and innovative deliberative architecture for human-robot interactions (HRI). Backed by empirical evidence, it demonstrates how explicit knowledge management holds the key to creating richer and more intuitive HRI by advocating for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book is of particular interest to academics, postgraduate students, and researchers engaged in the fields of artificial intelligence and machine learning. Key features:

Introduces several groundbreaking contributions to the representation and management of humans in autonomous robotic systems.

Explores the potential of cognitive computing, robots, and HRI to foster a deeper understanding and enhance the contribution of robots to society.

Engages with the potential ramifications of cognitive computing and HRI in the real world.

Weight: 692g
Dimension: 153 x 228 x 25 (mm)
ISBN-13: 9780323857697