Казанский (Приволжский) федеральный университет, КФУ
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MEDICAL PALPATION AUTONOMOUS ROBOTIC SYSTEM MODELING AND SIMULATION IN ROS/GAZEBO
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2020
Языканглийский
  • Лавренов Роман Олегович, автор
  • Магид Евгений Аркадьевич, автор
  • Цой Татьяна Григорьевна, автор
  • Библиографическое описание на языке оригинала Shafikov A., Tsoy T., Lavrenov R., Magid E., Li H., Maslak E., Schiefermeier-Mach N. Medical palpation autonomous robotic system modeling and simulation in ROS/Gazebo // Proceedings of 13th International Conference on Developments in eSystems Engineering (DeSE) (Wuhan, China; 14-17 December 2020) - p. 200-205.
    Аннотация Manual medical palpation task performed by a human doctor is characterized by complexity of multiple source data fusion and decision subjectivity, which significantly depends on a doctor experience and sensitivity. Therefore automated robotized approach could provide more reliable and independent results relative to a manual palpation. This paper presents a model and the Gazebo simulation of an autonomous robotic system that performs palpation of an arbitrary soft surface. The system uses a modified KUKA IIWA LBR manipulator model, equipped with a spherical indenter and a new force sensor plugin. In order to perform a palpation procedure, the system gathers data from a virtual Kinect camera and computes points for palpation based on an acquired point cloud. We introduce an implementation of soft bodies features with variable stiffness to the Gazebo simulator based on DART physics engine capabilities. The developed system was tested in the Gazebo simulator by simulating palpation of abdomen soft model with variable stiffness over its surface. The system successfully performed the palpation and was able to detect an area of high stiffness.
    Ключевые слова autonomous palpation, coverage algorithm, robotic palpation, robotics, soft body simulation
    Название журнала Proceedings - International Conference on Developments in eSystems Engineering, DeSE
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107627037&doi=10.1109%2fDeSE51703.2020.9450784&partnerID=40&md5=332528894a9add6338f993b45dddbea8
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