Clinicians are increasingly supported by medical endorobots to perform diagnosis and treatment of difficult to reach organs through small incisions or natural orifices. New technologies have provided a tool to improve the design of such endorobots (e.g. reducing size, improving dexterity and reducing stress and fatigue), while AI and ML algorithms are providing a tool to support clinical judgment.
Image guidance is used to establish precise positioning of tools and control of the surgical, or interventional tasks, and monitoring of effects, such as tumor ablation. This new generation of endorobots are not only capable of mimicking users’ movements, but they are also able to perform tasks at different levels of autonomy. This design requires a multidisciplinary team that involve experts in different research areas, including actuators, sensors, control, mechanics, AI& ML, imaging, etc.. The increased level of autonomy involves ethical concerns on responsibility and challenges, and regulatory compliance to guaranty safety while avoiding limitations on the advancements of new technologies.
The design of endorobots for endoluminal applications requires a multidisciplinary approach covering different research aspects. The goal of this Research Topic is to include articles in different disciplines in one collection to offer readers a wide overview on the topic. Basics and requirements for imaging compatibility i.e. magnetic resonance imaging MRI and computed tomography CT will be provided.
This Research Topic aims to collect articles on novel research studies as well as reviews on endorobots, including new designs of sensors, control systems, image guidance, interventional instruments for the design of endorobots and AI & ML algorithms for vision and autonomous systems, including ethics concern in devices with different levels of autonomy.
Therefore this Research Topic collection should include, but not limited to:
• Endorobots
• AI & ML for vision
• Autonomous systems
• Ethics on autonomous systems
• Smart materials for actuators and sensors
• Interventional instruments
• Imaging guidance
• Soft actuators and sensors
• Control algorithm and hardware
• Service device oriented communication SDC
• Collaborative systems
• Integration in the operative environment
Clinicians are increasingly supported by medical endorobots to perform diagnosis and treatment of difficult to reach organs through small incisions or natural orifices. New technologies have provided a tool to improve the design of such endorobots (e.g. reducing size, improving dexterity and reducing stress and fatigue), while AI and ML algorithms are providing a tool to support clinical judgment.
Image guidance is used to establish precise positioning of tools and control of the surgical, or interventional tasks, and monitoring of effects, such as tumor ablation. This new generation of endorobots are not only capable of mimicking users’ movements, but they are also able to perform tasks at different levels of autonomy. This design requires a multidisciplinary team that involve experts in different research areas, including actuators, sensors, control, mechanics, AI& ML, imaging, etc.. The increased level of autonomy involves ethical concerns on responsibility and challenges, and regulatory compliance to guaranty safety while avoiding limitations on the advancements of new technologies.
The design of endorobots for endoluminal applications requires a multidisciplinary approach covering different research aspects. The goal of this Research Topic is to include articles in different disciplines in one collection to offer readers a wide overview on the topic. Basics and requirements for imaging compatibility i.e. magnetic resonance imaging MRI and computed tomography CT will be provided.
This Research Topic aims to collect articles on novel research studies as well as reviews on endorobots, including new designs of sensors, control systems, image guidance, interventional instruments for the design of endorobots and AI & ML algorithms for vision and autonomous systems, including ethics concern in devices with different levels of autonomy.
Therefore this Research Topic collection should include, but not limited to:
• Endorobots
• AI & ML for vision
• Autonomous systems
• Ethics on autonomous systems
• Smart materials for actuators and sensors
• Interventional instruments
• Imaging guidance
• Soft actuators and sensors
• Control algorithm and hardware
• Service device oriented communication SDC
• Collaborative systems
• Integration in the operative environment
