Robotics, Vision and Machine Intelligence

  • A.C.MeyersVænge 15

    2450 København

    Denmark

Organization profile

Organisation profile

Robotics, Vision and
Machine Intelligence (RVMI) lab performs research and development of adaptive
robotic systems able to naturally communicate with humans, perceive their
environment and autonomously act in it. Research in the lab involves ways of
intuitively teaching how to perform new tasks to robots without expert robotics
knowledge, efficient visual and multimodal perception, as well as sensor fusion
and machine learning capabilities.

 

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Robots Engineering & Materials Science
Robotics Engineering & Materials Science
Unmanned aerial vehicles (UAV) Engineering & Materials Science
Manipulators Engineering & Materials Science
Hidden Markov models Engineering & Materials Science
Cameras Engineering & Materials Science
Computer vision Engineering & Materials Science
Weed control Engineering & Materials Science

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Projects 2006 2021

Research Output 2005 2019

73 Downloads (Pure)

Professionals without a profession: Occupational safety and health professionals in Denmark

Madsen, C. U., Hasle, P. & Limborg, H. J., 2019, In : Safety Science. 14 p.

Research output: Contribution to journalJournal articleResearchpeer-review

File

Structural integrity management with unmanned aerial vehicles: State-of-the-art review and outlook

Kapoor, M., Katsanos, E., Thöns, S., Nalpantidis, L. & Winkler, J., 1 Jan 2019, Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. Frangopol, D. M., Caspeele, R. & Taerwe, L. (eds.). CRC Press, p. 2161-2168 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Structural integrity
Unmanned aerial vehicles (UAV)
Structural health monitoring
Information analysis
Monitoring

A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands

Kounalakis, T., Malinowski, M. J., Chelini, L., Triantafyllidis, G. A. & Nalpantidis, L., 14 Dec 2018, 2018 IEEE International Conference on Imaging Systems and Techniques (IST). Krakow, Poland: IEEE, 6 p. 8577153. (IEEE International Conference on Imaging Systems and Techniques (IST)).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Robotics
Robots
Docks
Dairies
Farms

Activities 2006 2015

10th International Conference on Computer Vision Systems

Mikkel Rath Pedersen (Organizer)
6 Jul 20159 Jul 2015

Activity: Attending an eventConference organisation or participation

10th International Conference on Computer Vision Systems

Lazaros Nalpantidis (Organizer)
6 Jul 20159 Jul 2015

Activity: Attending an eventConference organisation or participation

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Mikkel Rath Pedersen (Participant)
14 Sep 201418 Sep 2014

Activity: Attending an eventConference organisation or participation

Press / Media

Fælles forståelse for arbejdsmiljø søges

Christian Uhrenholdt Madsen

16/01/2018

1 item of media coverage

Press/Media: Press / Media

EU-projekt klar til at vise robotløsning til bilindustrien

Volker Kurt Carl Krüger

06/06/2016

3 items of media coverage

Press/Media: Press / Media

Robotter med to arme gør det nemt

Ole Madsen & Mikkel Rath Pedersen

04/12/2015

2 items of media coverage

Press/Media: Press / Media