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Ivan Petrović
Researcher at University of Zagreb
Publications - 258
Citations - 3638
Ivan Petrović is an academic researcher from University of Zagreb. The author has contributed to research in topics: Mobile robot & Motion planning. The author has an hindex of 28, co-authored 248 publications receiving 3002 citations. Previous affiliations of Ivan Petrović include Czech Technical University in Prague & University of Toronto.
Papers
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Journal ArticleDOI
Composite distance based approach to von Mises mixture reduction
TL;DR: A systematic approach for component number reduction in mixtures of exponential families, putting a special emphasis on the von Mises mixtures is presented, and it is proved that the composite divergence bounds from above the corresponding intractable Renyi α -divergence between a pair of mixtures.
Proceedings ArticleDOI
Fast Manipulability Maximization Using Continuous-Time Trajectory optimization
TL;DR: This work examines the maximization of manipulability during planning as a way of achieving adaptable and safe joint space-to-task space motion mappings in various scenarios by representing the manipulator trajectory as a continuous-time Gaussian process (GP).
Book ChapterDOI
Model based Kalman Filter Mobile Robot Self-Localization
TL;DR: Implemented self-localizations methods are experimentally evaluated using a Pioneer 2DX/3DX mobile robot in a corridor like environment and results are compared regarding to obtained pose estimation accuracy, memory consumption and computational complexity.
Journal ArticleDOI
Open Platform Based Mobile Robot Control for Automation in Manufacturing Logistics
Marija Seder,Luka Petrović,Juraj Peršić,Goran Popović,Tomislav Petković,Ana Šelek,Borna Bićanić,Igor Cvišić,Damir Josić,Ivan Marković,Ivan Petrović,Ali Muhammad +11 more
TL;DR: The control of a robotic system for automation in manufacturing logistics based on the Open Platform for Innovations in Logistics (OPIL) is presented and a novel omnidirectional automated guided vehicle (AGV) suited for transporting the Euro-pallets with the payload of up to 400 kg is developed.
Posted Content
Global Localization Based on 3D Planar Surface Segments
TL;DR: Global localization of a mobile robot using planar surface segments extracted from depth images is considered and the robot pose is estimated by the Extended Kalman Filter using surface segment pairs as measurements.