Enabling Intelligent Human–Robot Interaction: Design, Operation, and Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 3
Special Issue Editor
Interests: industrial AI; machine learning; deep learning; computer vision; human–robot collaboration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of robotics and artificial intelligence has substantially expanded the possibilities for intelligent human–robot interactions (HRIs), with significant implications across diverse sectors including healthcare, industry, education, and social services. The Special Issue entitled "Enabling Intelligent Human–Robot Interaction: Design, Operation, and Learning" presents state-of-the-art research that contributes to developing effective, intuitive, and safe collaborations between humans and robotic systems.
The primary focus of this topical collection includes three critical areas of investigation. First, novel design methodologies that enhance robotic systems' capabilities for seamless and intuitive human interaction will be examined. Second, operational strategies that support robust, reliable, and context-sensitive robot behavior in dynamic, human-centric environments will be analyzed. Third, learning algorithms and frameworks that allow robots to adapt, personalize, and optimize interactions based on historical data and user feedback will be explored.
The scope of this Special Issue encompasses topics including, but not limited to:
- Design principles and methodologies for intuitive HRIs;
- Real-time operational and control strategies for interactive robotic systems;
- Human-centric robot learning and adaptive methods;
- Human factors and user-experience considerations in HRIs;
- Multimodal communication interfaces in robotic applications;
- Ethical, social, and safety considerations associated with intelligent HRI systems;
- Empirical case studies demonstrating the practical implementation and deployment of intelligent HRIs.
The primary objective of this collection is to provide a comprehensive and contemporary synthesis of intelligent HRI research, bridging foundational theoretical frameworks and practical implementation. The collection seeks to facilitate interdisciplinary discourse among researchers and practitioners, encourage collaborative exploration, and identify future research trajectories addressing current challenges and opportunities within the field.
This Special Issue will complement existing literature by specifically integrating design considerations, operational control mechanisms, and adaptive learning approaches within HRI systems—domains that have historically been investigated independently. This issue uniquely positions itself to advance interdisciplinary understanding and innovation by synthesizing these elements into a cohesive collection, contributing significantly to ongoing research endeavors and developments in human–robot interaction.
Dr. Haodong Chen
Guest Editor
Manuscript Submission Information
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Keywords
- human–robot interaction
- intelligent robots
- robot learning
- interaction design
- adaptive systems
- multimodal communication
- user-centered robotics
- robot operation
- HRI ethics
- safety
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