D
Doina Pisla
Researcher at Technical University of Cluj-Napoca
Publications - 195
Citations - 1410
Doina Pisla is an academic researcher from Technical University of Cluj-Napoca. The author has contributed to research in topics: Parallel manipulator & Robot. The author has an hindex of 16, co-authored 176 publications receiving 1001 citations.
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Journal ArticleDOI
Integration of Virtual Reality in the Control System of an Innovative Medical Robot for Single-Incision Laparoscopic Surgery
Florin Covaciu,Nicolae Crisan,Calin Vaida,Iulia Andras,Alexandru Pusca,Bogdan Gherman,Corina Radu,Paul Tucan,Nadim Al Hajjar,Doina Pisla +9 more
TL;DR: In this paper , the authors presented a study in which VR is used to create a simulator designed for robotically assisted single-uniport surgery using voice commands for laparoscopic camera positioning and via a user interface developed using the Visual Studio program that connects a wristband equipped with sensors attached to the user's hand for the manipulation of active instruments.
Proceedings ArticleDOI
Integrated control techniques for PARASURG 9M parallel robot
B. Gyurka,Doina Pisla,E. Stancel,Calin Vaida,I. Kovacs,Bogdan Gherman,Sz. Balogh,Nicolae Plitea +7 more
TL;DR: The paper presents the mechanical and electronic structure, the basic functions and the operation block diagrams developed for the command and control unit of the PARASURG 9M hybrid parallel robot and methods for functional testing of robot operation.
Aspects on synthesis and modeling of the parallel mini-robots and micro-robots
TL;DR: A structural synthesis of the parallel robots is presented which leads to some variants of parallel mini-robots and micro-Robots with different degrees of freedom.
Proceedings ArticleDOI
Interactive Modelling of the Robotized Systems
TL;DR: Product life management (PLM) is considered as an optimum solution for grouping all the restrictions under a single umbrella, having different specialized software packages for CAD/CAM/FEA/PDM.
Journal ArticleDOI
Artificial Intelligence-Based Hazard Detection in Robotic-Assisted Single-Incision Oncologic Surgery
Gabriela Rus,Iulia Andras,Calin Vaida,Nicolae Crisan,Bogdan Gherman,Corina Radu,Paul Tucan,Stefan Iakab,Nadim Al Hajjar,Doina Pisla +9 more
TL;DR: In this article , a real-time, bleeding detection system was developed using the YOLOv5 algorithm and the Hololens 2 device, which was evaluated on different surgical procedures and tested in multiple configurations to obtain the optimal prediction time and accuracy.