Risultati finali Documents, reports (8) Setup of integration and sharing repository Describes the setup of the repositories to be created to facilitate interaction during the development phase Acquisition and 3D modelling of fragments Describes the work done in WP21 which will focus on deriving an accurate 3D model for each archaeological fragment together with a mapped texture so as to obtain appearance and geometrybased descriptors that will be used by the puzzlesolving and grasping modules Hand pose selection for grasp planning using vision sensors Describes the work done in WP51 which aims to learn by explorationimitation the parameters of the visual servoing controllers for softhands Quality Management plan Sets the quality standards to be pursued in the whole project Exploitation plan (including IP provisions) Describes the exploitation plan of the project including IP provisions Manipulation platform requirements Describes the work done in WP41 and outlines the desired specifications of the robot and vision systems based on the requirements of the manipulation tasks with the fresco pieces Style priors and their formal description for appearance prediction Describes the work done in WP31 where highlevel knowledge of fresco styles will be formalised in ways that allow its integration into the puzzle solving algorithm Strategic communication and dissemination plan Describes the strategic communication and dissemination plan of the project Open Research Data Pilot (1) Data Management Plan It provides indications as to the management of data in relation to the H2020 Open Research Data Pilot Data Management Plan might be updated during the project implementation Websites, patent fillings, videos etc. (1) Project website and social media (including YouTube channel) Website of the project and social media platforms Pubblicazioni Conference proceedings (5) 3DSGrasp: 3D shape-completion for robotic grasp Autori: S. S. Mohammadi, N. F. Duarte, D. Dimou, Y. Wang, M. Taiana, P. Morerio, A. Dehban, P. Moreno, A. Bernardino, A. Del Bue, and J. Santos-Victor Pubblicato in: Proceedings of the IEEE International Conference on Robotics and Automation, 2023 Editore: IEEE Learning goal-directed non-prehensile pushing in cluttered scenes Autori: N. Dengler, D Großklaus, and M. Bennewitz Pubblicato in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022 Editore: IEEE Relaxation labeling meets GANs: Solving jigsaw puzzles with missing borders Autori: M. Khoroshiltseva, A. Traviglia, M. Pelillo and S. Vascon Pubblicato in: Proceedings of the 21st International Conference on Image Analysis and Processing, 2022 Editore: Springer DOI: 10.1007/978-3-031-06433-3_3 Multi-phase relaxation labeling for square jigsaw puzzle solving Autori: B. Vardi, M. Khoroshiltseva, A. Torcinovich, M. Pelillo, and O. Ben-Shahar Pubblicato in: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging, and Computer Graphics: Theory and Applications, 2023 Editore: SCITEPRESS DOI: 10.5220/0011622800003417 GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image Autori: D. Talon, A. Del Bue, S. James Pubblicato in: Proceedings of IEEE International Conference on Image Processing, 2022 Editore: IEEE DOI: 10.1109/icip46576.2022.9897553 È in corso la ricerca di dati su OpenAIRE... Si è verificato un errore durante la ricerca dei dati su OpenAIRE Nessun risultato disponibile
