Floor Washing Robot for Professional Users

Informazioni relative al progetto

FLOBOT

ID dell’accordo di sovvenzione: 645376

DOI 10.3030/645376

Progetto chiuso

Data della firma CE 4 Dicembre 2014

Data di avvio 1 Gennaio 2015

Data di completamento 30 Giugno 2018

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale € 4 204 713,75

Contributo UE € 3 186 473,75

Coordinato da

CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD
Cyprus

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

FLOBOT Online Presence Report

Leader: CyRIC participating: All.

Documents, reports (2)

Progress Technical Report

Leader: CyRIC participating: All. To be prepared periodically: M3, M6, M12, M18, M24, M30. Deals with the description and evaluations of activities carried out for the reference period/periods: technical approaches, timing of activities, involvement of the Consortium, including Product and Quality Assurances reports.

Dissemination and Communication Plan

Leader: CyRIC participating: All .

Other (1)

FLOBOT Workshops Organisation

Leader: CyRIC participating: All. Two workshops will be held. D8.3a. Workshop in M39. D8.3b. Workshop in M42.

Open Research Data Pilot (1)

Data Management Plan

Leader RBK participating partners FIMAP ROBO CyRIC UOL TUW

Pubblicazioni

Conference proceedings (7)

Online learning for human classification in 3D LiDAR-based tracking

Autori: Zhi Yan, Tom Duckett, Nicola Bellotto
Pubblicato in: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, Pagina/e 864-871, ISBN 978-1-5386-2682-5
Editore: IEEE
DOI: 10.1109/IROS.2017.8202247

Multisensor Online Transfer Learning for 3D LiDAR-based Human Detection with a Mobile Robot

Autori: Yan, Zhi; Sun, Li; Duckett, Tom; Bellotto, Nicola
Pubblicato in: Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2018, Numero 1, 2018
Editore: https://www.iros2018.org/

Autonomous Extrinsic Calibration of a Depth Sensing Camera on Mobile Robots

Autori: Farhoud Malekghasemi, Georg Halmetschlager-Funek, Markus Vincze
Pubblicato in: Proceedings of the Austrian Robotics Workshop 2018, 2018, Pagina/e 29-36, ISBN 9783-903187221
Editore: innsbruck university press
DOI: 10.15203/3187-22-1-07

Towards ScalableFusion: Feasibility Analysis of a Mesh Based 3D Reconstruction

Autori: Simon Schreiberhuber, Johann Prankl and Markus Vincze
Pubblicato in: Proceedings of the OAGM Workshop 2018, 2018
Editore: OAGM Workshop
DOI: 10.3217/978-3-85125-603-1-11

Bilateral Filters for quick 2.5 D Plane Segmentatio

Autori: Simon Schreiberhuber, Thomas Morwald and Markus Vincze
Pubblicato in: 2017
Editore: OAGM&ARW
DOI: 10.3217/978-3-85125-524-9-36

Towards pedestrian-AV interaction: method for elucidating pedestrian preferences

Autori: Camara, F.; Cosar, S.; Bellotto, N.; Merat, N. & Fox, C. W.
Pubblicato in: Workshop on Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2018., Numero 2018, 2018
Editore: IROS

Poster - FLOBOT: Floor washing robot for professional users

Autori: Panayiotis Philimis, Alessandro Giusti, Nicola Belotto, Markus Vincze
Pubblicato in: IROS 2015, 2015
Editore: IEEE/RSJ

Thesis and dissertations (2)

Stereo Vision for Obstacle Detection in Robotic Applications

Autori: -
Pubblicato in: 2017
Editore: -

Autonomous Extrinsic Calibration of a Depth Sensing Camera on Mobile Robots

Autori: -
Pubblicato in: 2018
Editore: -

Peer reviewed articles (1)

Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping With 3-D-Lidar Data

Autori: Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett
Pubblicato in: IEEE Robotics and Automation Letters, Numero 3/4, 2018, Pagina/e 3749-3756, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/LRA.2018.2856268