An intelligent framework for simulating robot-assisted surgical operations |
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| Affiliation: | 1. Department of Biomedical Engineering, National Institute of Technology, CG Raipur, India;2. Department of Computer Applications, National Institute of Technology, CG Raipur, India;3. Department of Electrical Engineering, National Institute of Technology, CG Raipur, India;1. ICM–Institut du Cerveau et de la Moelle épinière, CENIR–Centre de NeuroImagerie de Recherche, Groupe Hospitalier Pitié-Salpêtrière, 47 boulevard de l''hôpital, 75013 Paris, France;2. CRICM–Centre de Recherche de l''Institut du Cerveau et de la Moelle épinière, Université Pierre et Marie Curie (Paris 6)/INSERM UMR_S975/CNRS UMR 7225, Groupe Hospitalier Pitié-Salpêtrière, bâtiment ICM, 47 boulevard de l''hôpital, 75013 Paris, France;3. Siemens Healthcare, 9 boulevard Finot, 93527 St Denis 2, France;4. SuperSonic Imagine, 510 rue René Descartes, Aix en Provence, France;5. Institut Langevin, ESPCI ParisTech, CNRS UMR 7587, INSERM U979, 10 rue Vauquelin, 75231 Paris Cedex 05, France;6. AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Faculté de Médecine, 47 boulevard de l''hôpital, 75013, Paris, France |
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| Abstract: | 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. |
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