An intelligent framework for simulating robot-assisted surgical operations
In this paper, a system based on several intelligent techniques, including speech recognition, natural language processing and linear planning is described. These techniques have been employed to generate a sequence of operations understandable by the control system of a robot that is to perform a semi-automatic surgical task. Thus, a system has been implemented that translates some surgeon's natural language into robot-executable commands. A robotic simulator has then been implemented in order to test the planned sequence in a virtual environment.
natural language processing linear planning ontologies medical robotics