Robotic Sensing for Biomedical Applications

Dear Colleagues,

In the last few decades, rapid technological advancements have led to the development of several robotic devices and automated systems for biomedical applications. In this context, sensing technology represents a key component for the successful navigation, localization, and activation of robotic devices in complex environments (e.g., the human body) for diagnostic applications and medical treatments.

This Special Issue focuses on the development of robotics and automation technologies for biomedical applications, including instruments for monitoring, inspecting, and screening pathologies. Additionally, information technologies supporting sensing, analysis, and design tasks to enhance the performance of existing diagnostic systems and treatments are also of interest.

Examples include biomedical applications empowered by robotic systems with various sensing technologies, e.g., vision-based sensors, wireless sensors, multi-sensor fusion, etc. Such technologies will pave the way to patient-specific personalized medicine for both diagnostic and treatment purposes.

In this Special Issue, we invite contributions from a broad community of scientists working on a wide range of applications, including, but not limited to, the following topics of interest:

• robotic sensing systems for biomedical applications;
• bio-inspired sensing for biomedical applications;
• service robots and intelligent machines for biomedical applications.

Dr. Gastone Ciuti
Dr. Marcello Chiurazzi
Dr. Martina Finocchiaro
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• sensors for diagnosis
• sensors for monitoring
• multi-functional sensors
• biocompatible sensors
• multi-modal sensor data fusion
• robotic sensors and perception algorithms
• wearable and implantable sensors