Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study
Journal:
arXiv
Published Date:
Apr 28, 2025
Abstract
The development of autonomous robotic systems offers significant potential
for performing complex tasks with precision and consistency. Recent advances in
Artificial Intelligence (AI) have enabled more capable intelligent automation
systems, addressing increasingly complex challenges. However, this progress
raises questions about human roles in such systems. Human-Centered AI (HCAI)
aims to balance human control and automation, ensuring performance enhancement
while maintaining creativity, mastery, and responsibility. For real-world
applications, autonomous robots must balance task performance with reliability,
safety, and trustworthiness. Integrating HCAI principles enhances human-robot
collaboration and ensures responsible operation.
This paper presents a bibliometric analysis of intelligent autonomous robotic
systems, utilizing SciMAT and VOSViewer to examine data from the Scopus
database. The findings highlight academic trends, emerging topics, and AI's
role in self-adaptive robotic behaviour, with an emphasis on HCAI architecture.
These insights are then projected onto the IBM MAPE-K architecture, with the
goal of identifying how these research results map into actual robotic
autonomous systems development efforts for real-world scenarios.
