Design, Sensing, Learning, and Control for Medical Robotics: From Sensor Integration to Perception
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 15 February 2027 | Viewed by 8
Editors
Interests: robot learning; robot control; medical robot
Special Issues, Collections and Topics in MDPI journals
Interests: medical image analysis; multimodal image registration; surgical navigation; medical robotics
Interests: autonomous motion; human–robot interaction; microrobot; medical robotics; robot planning
Special Issues, Collections and Topics in MDPI journals
Interests: robot
Special Issue Information
Dear Colleagues,
Medical robotics is rapidly advancing toward more precise, intelligent, and minimally invasive healthcare solutions. This progress is driven by the integration of design, sensing, learning, and control, together with recent developments in artificial intelligence (AI) for perception, decision-making, and adaptive skill acquisition in complex clinical environments.
Despite these advances, key challenges remain, including robust sensing under uncertainty, data-efficient learning, safe and interpretable human–robot interaction, and reliable real-time control. Addressing these challenges requires tightly integrated approaches that bridge system design, multimodal sensing, learning algorithms, and control strategies.
This Special Issue aims to highlight recent progress in design, sensing, learning, and control for medical robotics, emphasizing both methodological innovation and system-level integration. Contributions that demonstrate clinical relevance and practical deployment are particularly encouraged.
Topics of interest include, but are not limited to, the following:
- Design and system integration of medical robotic platforms;
- Multimodal sensing, perception, and sensor fusion;
- Learning-based methods for perception, planning, and control;
- Reinforcement and imitation learning for robotic skill acquisition;
- Vision–Language–Action (VLA) models for medical robotics;
- Medical image analysis and image-guided robotic systems;
- Human–robot interaction, shared control, and human-in-the-loop systems;
- Real-time control, motion planning, and safety-critical control;
- Modeling and control of continuum and soft medical robots;
- Magnetic actuation and micro/nanorobots for biomedical applications;
- Soft robotic systems and bio-inspired medical devices;
- AI-enabled navigation, surgical, and interventional robotics actuation technologies (e.g., pneumatic, hydraulic, magnetic) for medical robots.
We welcome original research articles, review papers, and short communications that advance the state of the art in intelligent medical robotic systems.
Prof. Dr. Yingbai Hu
Dr. Long Lei
Dr. Yueyue Liu
Dr. Xuyang Ren
Guest Editors
Dr. Haipeng Liang
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- medical robotics
- system design
- multimodal sensing
- learning-based control
- human–robot interaction
- medical image analysis
- image-guided robotics
- surgical robotics
- soft robotics
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