An Anticipatory SANET Environment for Training and Simulation of Laparoscopic Surgical Procedures

Surgical simulation environments are required to train laparoscopic surgeons to become familiar with the technology, before they operate on patients. The chapter examines how a Sensor-Actor Network (SANET) incorporated into the laparoscopic training facility can be augmented with the Belief-Desire-Intention (BDI) agents for autonomous operation of the sensor facility along with the training environment. In addition to neural network processes, path trajectory estimation can be superimposed as a visual aid in a variety of training scenarios. The algorithms used in this experiment provides a balanced approach to monitor the training surgeon's level of progress and feedback as they perform the simulated training procedures.