Shearlet-based vs. Photometric-based Visual Servoing for Robot-assisted Medical Applications

Abstract : — This paper deals with the development of a vision-based controller for robot-assisted medical applications. It concerns the use of shearlet coefficients in case of ultrasounds (US) images as visual signal inputs and the design of the associated interaction matrix. The proposed controller was validated in both simulation and on an experimental test bench which consists of a robotic arm holding an US probe in contact with a realistic abdominal phantom. Also, the proposed control scheme was compared to the photometry-based visual servoing approach in order to evaluate its efficiency in different conditions of use (nominal and unfavorable conditions).
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Communication dans un congrès
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'16, Oct 2016, Daejeon, South Korea. pp.4099-4104
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Lesley-Ann Duflot, Alexandre Krupa, Brahim Tamadazte, Nicolas Andreff. Shearlet-based vs. Photometric-based Visual Servoing for Robot-assisted Medical Applications. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'16, Oct 2016, Daejeon, South Korea. pp.4099-4104. 〈hal-01355414〉

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