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In this paper the problem of 3D physiological motion compensation in beating heart surgery is resolved by an adaptive control architecture based on Model Reference Adaptive Control (MRAC). The proposed control architecture uses the measures of the contact efforts applied by the surgical tool on the heart to assure force feedback. No apriori information about motion characteristics is necessary. It...
The paper presents a control architecture for robotic-assisted surgery in the presence of physiological motions. Dynamic and kinematic models, operational space, computed torque, discrete state space and stochastic design are addressed in the control. Inner loops are based on position and velocity signals and outer loops have force measurements. Two active observers (AOBs) are introduced for force...
With the advent of new applications in cardiac robotic-assisted minimally invasive surgery (MIS), a demand for the design of efficient motion compensation systems was created. In this context, vision-based techniques seem to be a practical way to retrieve the motion of the beating heart since they do not require the introduction of additional sensors in the limited workspace. In this paper, we propose...
This paper proposes a new approach to compensate the physiological motion, induced by respiration and heart beating, for robotized minimally invasive cardiac surgery. The control algorithm, based on a linear predictive control, uses the effort information applied on the heart by the instrument.
Performing motion tracking in real-time is an old and recurrent problem in computer vision. It has been addressed through a large set of approaches but achieving a high level of robustness is still a challenge, especially with low definition input. In the considered application, tracking the heart motion in endoscopic beating heart sequences, the sensitivity of existing algorithms to visual artifacts...
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