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.
Papers
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Development of a learning management system for knowledge transfer in engineering
Doina Pisla,Laurentiu Nae,Calin Vaida,Eduard Oprea,Adrian Pisla,Bogdan Gherman,Tiberiu Alexandru Antal,Katja Riessenberger,Nicolae Plitea +8 more
TL;DR: In this paper, a learning management system (LMS) developed and customized as an interactive on-line platform that can bridge the gap between generations transferring the knowledge from senior experts to developing companies is presented.
Journal ArticleDOI
Safety Issues in the Development of an Innovative Medical Parallel Robot Used in Renal Single-Incision Laparoscopic Surgery
Doina Pisla,Nicolae Crisan,Bogdan Gherman,Iulia Andras,Paul Tucan,Corina Radu,Alexandru Pusca,Calin Vaida,Nadim Al Hajjar +8 more
TL;DR: In this paper , a secure robotic solution for single-incision laparoscopic surgery (SILS) focusing specifically on urology, by identifying and addressing various safety concerns from an early design stage, was proposed.
Book ChapterDOI
The Kinematics of a New Reconfigurable Parallel Robot with Six Degrees of Freedom
TL;DR: A new parallel reconfigurable robot with six degrees of freedom actuated from the fixed platform by six linear motors disposed in three guiding kinematic chains, suitable for assembly and milling operations and can be also used as a module in a minimally invasive surgical system.
Inverse Dynamics of a 5-DOF Reconfigurable Parallel Robot
Nicolae Plitea,Juergen Hesselbach,Doina Pisla,Annika Raatz,Calin Vaida,Bogdan Prodan,R. Dadarlat,Langer Kamp +7 more
TL;DR: The paper presents the inverse dynamic model for a 5-DOF reconfigurable parallel robot using virtual work principle and the results of the analytic dynamic model have been validated by means of a Multi- Body simulation.
Journal ArticleDOI
Parametric Modeling for Analyzing Diseases of the Human Spine
TL;DR: This application enabling the monitoring of the majority of these aspects by analyzing data obtained from a special designed sensor system attached to the patient body is presented.