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A case study oftrajectory transferthrough non-rigidregistration for asimplified suturingscenario John SchulmanAnkush GuptaSibi Venkatesan2013 год

A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario
статья (материалы конференций)

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Аннотация: Suturing is an important yet time-consuming part of surgery. A fast and robust autonomous procedure could reduce surgeon fatigue, and shorten operation times. It could also be of particular importance for suturing in remote tele-surgery settings where latency can complicate the master-slave mode control that is the current practice for robotic surgery with systems like the da Vinci®. We study the applicability of the trajectory transfer algorithm proposed in [12] to the automation of suturing. The core idea of this procedure is to first use non-rigid registration to find a 3D warping function which maps the demonstration scene onto the test scene, then use this warping function to transform the robot end-effector trajectory. Finally a robot joint trajectory is generated by solving a trajectory optimization problem that attempts to find the closest feasible trajectory, accounting for external constraints, such as joint limits and obstacles. Our experiments investigate generalization from a single demonstration to differing initial conditions. A first set of experiments considers the problem of having a simulated Raven II system [5] suture two flaps of tissue together. A second set of experiments considers a PR2 robot performing sutures in a scaled-up experimental setup. The simulation experiments were fully autonomous. For the real-world experiments we provided human input to assist with the detection of landmarks to be fed into the registration algorithm. The success rate for learning from a single demonstration is high for moderate perturbations from the demonstration's initial conditions, and it gradually decreases for larger perturbations.
Год издания: 2013
Авторы: John Schulman, Ankush Gupta, Sibi Venkatesan, Mallory Tayson-Frederick, Pieter Abbeel
Источник: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
Ключевые слова: Soft Robotics and Applications, Robotics and Sensor-Based Localization, Robot Manipulation and Learning
Другие ссылки: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (HTML)
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