Robot Control in Human–Computer Interaction
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 437
Special Issue Editors
Interests: robotics; power electronics and control; optimal control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue explores the intersection of robot control techniques and HCI, considering the control and design of intelligent robotic systems to facilitate user experience, interaction, and performance in interactive environments. As robotics becomes increasingly embedded un daily life—assistive technology and smart homes, industrial automation, and social robots—the need for intuitive, adaptive, and secure control systems in on the rise.
The Issue brings together cutting-edge research on topics including, but not limited to, the following areas:
- Shared and adaptive control methods in human–robot interaction.
- Multimodal interfaces for natural robot control.
- Learning-based methods for user-adaptive robot action.
- Trust, transparency, and explainability in robot decision-making.
- Real-time feedback and user modeling in robot control.
- Applications in healthcare, education, collaborative work, and assistive robotics.
By integrating technical innovations with human-centered design, this Special Issue aims to advance the development of robotic systems that are not only functionally autonomous but also socially and cognitively aware. The contributions emphasize the importance of designing control architectures that align with human needs, support shared goals, and foster trust and collaboration in complex interactive scenarios.
Prof. Dr. Emilio Jorge González-Galván
Prof. Dr. Marco Mendoza
Guest Editors
Manuscript Submission Information
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Keywords
- robot control
- human–computer interaction
- assistive robotics
- collaborative robotics
- shared and adaptive control
- human-in-the-loop control
- multimodal control interfaces
- real-time feedback
- user modeling
- learning methods
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