Advanced Sensing Technologies in Robotic Surgery
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 204
Special Issue Editors
Interests: surgical data analysis; swarm robotics; image processing; digital twins; machine learning
Interests: soft robotics; surgical robots; ultrasonic motors
Interests: robotics; soft robotics; minimally invasive surgery
Interests: surgical robotics; minimal access surgical technology; cyber-physical systems; human-robot and human-computer interfaces; eye-tracking; perceptual docking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Robotic surgical systems integrate advanced sensing technology with high surgical precision, facilitating minimally invasive procedures that enhance patient outcomes and accelerate recovery. New sensing technologies play a critical role in robotic surgery by being intelligent, multimodal, miniaturized, and tightly integrated with AI-driven robotic systems.In the new era of artificial intelligence, advances in sensing technologies are redefining robotic surgery by delivering accurate, real-time, and integrated multimodal perception that enables intelligent and safe clinical deployment. Sensor-based surgical robotics is entering a new phase, as recent advances have matured into clinically proven systems with demonstrated market impact.
This Special Issue welcomes original research and review articles on all aspects in theory, methods and applications of advanced sensing technologies applied in robotic surgery. Topics of interest for this Special Issue include, but are not limited to, the following:
- AR/VR for surgical robots;
- Advanced endoscopic robots with 3D vision sensing systems;
- Force, tactile, and haptic sensing for robotic surgery;
- Tissue property sensing, including stiffness, elasticity, and impedance;
- AI-enabled multimodal sensor fusion in the operating theatre;
- AI-based digital twins in the operating theatre;
- AI- and machine learning-based interpretation of surgical sensor data;
- Minimally invasive robotic telesurgery;
- Smart surgical instruments;
- Miniaturized and embedded sensors for surgical instruments;
- Applications of multisensor systems in surgical robots;
- Autonomous systems and mobile robots in clinical logistics;
- Multimodal perception for surgical robots;
- Sensing technologies for soft and bio-inspired surgical robots;
- Multimodal imaging for robotic surgery (OCT, ultrasound, fluorescence, hyperspectral imaging).
Dr. Adrian Rubio-Solis
Dr. Yang Jianlin
Dr. Mark S. Runciman
Dr. George Mylonas
Guest Editors
Manuscript Submission Information
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Keywords
- sensor fusion
- smart sensors
- AI-based sensing systems
- haptic and force sensing
- miniaturized and embedded sensors
- surgical robots
- robotic surgical vision
- AI-based digital twins
- sensor fabrication
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