The quality of robot-assisted surgery can be improved and the use of hospital resources can
be optimized by enhancing autonomy and reliability in the robot's operation. Logic …

Robotic surgery has significantly improved the quality of surgical procedures. In the past,
researches have been focused on automating simple surgical actions. However, there exists …

Autonomy in robotic surgery will significantly improve the quality of interventions in terms of
safety and recovery time for the patient, and reduce fatigue of surgeons and hospital costs. A …

A system called the Computer-Assisted Surgical Trainer (CAST) that provides force, visual,
and audio guidance with objective assessments for laparoscopic surgery skills training in a …

Computer-based simulators have been developed to enhance training experiences in
laparoscopic surgical skills training. Most simulators can evaluate a trainee's performance …

This paper proposes a real-time, image-based training scenario comprehension method.
This method aims to support the visual and haptic guidance system for laparoscopic surgery …

A real-time, image-based training scenario comprehension method is proposed in this
paper. This method is being developed to support a visual and haptic guidance system for …

This thesis addresses the long-term goal of full (supervised) autonomy in surgery,
characterized by dynamic environmental (anatomical) conditions, unpredictable workflow of …

Laparoscopic surgery performed by expert surgeons enables patients to reduce recovery
time and pain. However, this surgical procedure is challenging due to restricted vision and …

Semantic understanding is the foundation of an intelligent system in the field of computer
vision. Particularly, the real-time usage of the automation systems, such as robotic vision …