Search

Endonasal surgery is a minimally invasive approach for the removal of pituitary tumors (sarcomas). In this type of procedure, the surgeon has to complete the surgical maneuvers for sarcoma resection with extreme precision, as there are many vital structures in this area. Therefore, the use of robots for this type of intervention could increase the success of the intervention by providing accurate movements. Research has focused on the development of teleoperated robots to handle a surgical instrument, including the use of virtual fixtures to delimit the working area. This paper aims to go a step further with a platform that includes a teleoperated robot and an autonomous robot dedicated to secondary tasks. In this way, the aim is to reduce the surgeon's workload so that he can concentrate on his main task. Thus, the article focuses on the description and implementation of a navigator that coordinates both robots via a force/position control. Finally, both the navigation and control scheme were validated by in-vitro tests.

Minimally invasive surgery (MIS) techniques are growing in quantity and complexity to cover a wider range of interventions. More specifically, hand-assisted laparoscopic surgery (HALS) involves the use of one surgeon's hand inside the patient whereas the other one manages a single laparoscopic tool. In this scenario, those surgical procedures performed with an additional tool require the aid of an assistant. Furthermore, in the case of a human-robot assistant pairing a fluid communication is mandatory. This human-machine interaction must combine both explicit orders and implicit information from the surgical gestures. In this context, this paper focuses on the development of a hand gesture recognition system for HALS. The recognition is based on a hidden Markov model (HMM) algorithm with an improved automated training step, which can also learn during the online surgical procedure by means of a reinforcement learning process.

Objective: The main difficulty in laparoscopic or robot-assisted surgery is the narrow visual field, restricted by the endoscope's access port. This restriction is coupled with the difficulty of handling the instruments, which is due not only to the access port but also to the loss of depth of field and perspective due to the lack of natural lighting. In this article, we describe a global vision system and report on our initial experience in a porcine model., Material and Methods: The global vision system consists of a series of intraabdominal devices, which increase the visual field and help recover perspective through the simulation of natural shadows. These devices are a series of high-definition cameras and LED lights, which are inserted and fixed to the wall using magnets. The system's efficacy was assessed in a varicocelectomy and nephrectomy., Results: The various intraabdominal cameras offer a greater number of intuitive points of view of the surgical field compared with the conventional telescope and appear to provide a similar view as that in open surgery. Areas previously inaccessible to the standard telescope can now be reached. The additional light sources create shadows that increase the perspective of the surgical field., Conclusion: This system appears to increase the possibilities for laparoscopic or robot-assisted surgery because it offers an instant view of almost the entire abdomen, enabling more complex procedures, which currently require an open pathway., (Copyright © 2016 AEU. Publicado por Elsevier España, S.L.U. All rights reserved.)