Knowledge Management in Human-Robot Interaction Approaches and Processes
William Leslie Brown‐Acquaye, Ezer Osei Yeboah-Boateng, Форгор Лемпого · Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series · 2021
Cognitive robots, exhibiting cognitive characteristics and synthesizing knowledge to perform tasks and interacting with humans in both industrial and social settings, have become a big part of modern societies. In this chapter, the authors review the processes and approaches to knowledge management in cognitive robot agents for effective human robot interaction. They present the current state of the art in current robotics technology and human-robot interaction. They state current requirements of cognitive robot agents in human-robot interaction and examine the role of knowledge in human-robot interaction. They finally propose a knowledge management framework for cognitive robots that consist of three main stages: knowledge acquisition and grounding, knowledge representation and knowledge integration, and instantiation into robot architectures.