Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study

• URL: http://arxiv.org/abs/2504.19848v1
• Date: Mon, 28 Apr 2025 14:45:48 GMT
• Title: Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study
• Authors: Simona Casini, Pietro Ducange, Francesco Marcelloni, Lorenzo Pollini,
• Abstract summary: Human-Centered AI (HCAI) aims to balance human control and automation.<n>This paper presents a bibliometric analysis of intelligent autonomous robotic systems using SciMAT and VOSViewer.<n>The findings highlight academic trends, emerging topics, and AI's role in self-adaptive robotic behaviour.
• Score: 3.794859469462058
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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