The major application areas of reinforcement learning (RL) have traditionally been game
playing and continuous control. In recent years, however, RL has been increasingly applied …

Robot-assisted urologic surgery coupled with machine learning is a burgeoning area of
study that demonstrates exciting potential. However, further validation and clinical trials are …

Surgery faces a paradigm shift since it has developed rapidly in recent decades, becoming a
high-tech discipline. Increasingly powerful technological developments such as modern …

Robotic platforms are taking their place in the operating room because they provide more
stability and accuracy during surgery. Although most of these platforms are teleoperated, a …

In this chapter, the application of machine learning (ML) in various engineering domains has
ushered in transformative advancements, offering solutions to intricate problems and paving …

Current laparoscopic camera motion automation relies on rule-based approaches or only
focuses on surgical tools. Imitation Learning (IL) methods could alleviate these …

Minimally invasive surgery (MIS) techniques are growing in quantity and complexity to cover
a wider range of interventions. More specifically, hand-assisted laparoscopic surgery …

Collaborative robots are used in scenarios requiring interaction with humans. In order to
improve the safety and adaptability of collaborative robots during human–robot interaction …

Purpose The surgeon is not timely in direct control of his field of view. Autonomous
laparoscope control can provide appropriate surgical field of view and facilitate the …

Purpose This paper aims to investigate the problem of vision based autonomous
laparoscope control, which can serve as the primary function for semi-autonomous …