Papers by Author: Teodora Gîrbacia

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Authors: Florin Gîrbacia, Silviu Butnariu, Daniel Voinea, Bogdan Tzolea, Teodora Gîrbacia, Doina Pîslă
Abstract: Surgical robots for biopsy procedure require pre-operative planning of trajectories prior to be used for needle guiding procedures. Virtual Reality (VR) technologies allow to simulate robotic biopsy procedure and to generate accurate needle trajectories that avoid vital organs. The paper presents a serial robot which can be used for biopsy procedure and a needle trajectory planning software based on VR technologies. A virtual environment has been modelled and simulations for robotic-assisted biopsy of the prostate have been performed.
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Authors: Teodora Gîrbacia, Gheorghe Mogan
Abstract: In this paper we present a method of reducing the computational complexity necessary in path planning for a car-like robot in order to generate the optimal path according to the constrains set by the user. The proposed method implies adding the following constrains: setting the maximum and minimum distance between the possible paths and the obstacles placed in the virtual environment in order to reduce the simulation time and to obtain a real-time application and to remove the paths that contain unnecessary turns around the environment without avoiding an obstacle. By applying this method the simulation complexity is reduced and the optimal path is easier to find.
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Authors: Teodora Gîrbacia
Abstract: In this paper is presented a comparative study between using extended Kalman filter and particle filter applied on SLAM algorithm for an autonomous mobile robot. The robot navigates through an unknown indoor environment in which are placed 80 landmarks and it creates the map of the environment. Because the sensors placed on the robots produce measurement errors it is necessary to use Bayesian filters as the Kalman filter or the particle filter. An application was implemented that shows the estimated measurement errors produced while using both filters in order to create the estimated map of the closed environment in which the autonomous mobile robot is navigating.
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Authors: Teodora Gîrbacia, Andrei Margarit, Simion Mădălin, Gheorghe Mogan
Abstract: For autonomous vehicles an important problem is to plan and accurately follow the optimal trajectory between the start point and the target, without collision with the obstacles placed in the environment. In order to obtain a continuous motion along the planned path for a vehicle with navigation assistants, especially when avoiding obstacles, the transition between a straight segment and circle arcs has to be done through using an additional curve. This paper present an algorithm based on clothoid curves for optimal steering using as case a vehicle with navigation assistants. The developed algorithm has been tested in a real environment and results have been presented.
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