ECMR 2019

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ECMR 2019
European Conference on Mobile Robots
Event in series ECMR
Dates 2019/09/04 (iCal) - 2019/09/06
Homepage: https://www.ecmr2019.eu/
Submitting link: https://www.ecmr2019.eu/call-for-papers/
Location
Location: Prague, Czech Republic
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Important dates
Submissions: 2019/05/12
Notification: 2019/06/15
Registration link: https://www.ecmr2019.eu/registration/
Early bird student: € 350 / {{{Early bird fee reduced}}}
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(reduced)
On site student: € 400 / {{{On site fee reduced}}}
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(reduced)
Early bird regular: € 400
On site regular: € 450
Committees
Organizers: Czech Technical University Prague
General chairs: Libor Přeučil
PC chairs: Sven Behnke
PC members: R. Barták, D. Belter, S. Bogdan, H. Böhme, P. Checchin
Table of Contents

Contents


Enter your description here. Maybe just paste in the call for papers.

Topics

ECMR is an internationally open biennial European forum, allowing researchers to learn about and discuss the latest accomplishments and innovations in mobile robotics and mobile human-robot systems.

ECMR 2019 is the 9th edition of the event, and will be held in Prague, Czech Republic, hosted by Czech Technical University in Prague and its‘ Czech Institute of Informatics, Robotics and Cybernetics. The conference format is a single track event to favor discussion and interactions, accompanied with poster sessions and keynote speeches.

ECMR welcomes articles describing fundamental developments in the field of mobile robotics, with special emphasis on autonomous systems. An important goal of this conference is to extend the state of the art in the context of autonomous systems featuring interdisciplinary approaches covering computer science, control systems, electrical engineering, mathematics, mechanical engineering, and other fields. 

The conference topics may incorporate mobile robots, intelligent machines and systems for critical use, industrial production, in particular within Industry 4.0 activities and other applications in: • Symbolic and sensory-based mobile robot design, • Robot control and learning in the context of autonomous systems featuring interdisciplinary approaches covering computer science, control systems, electrical engineering, mathematics, mechanical engineering, and other fields. Mobile robots and intelligent machines and systems for critical areas and applications as: • Service and personal assistants; space, underwater, and remote exploration; entertainment; safety, search, and rescue; • Agriculture applications and intelligent vehicles. • Special emphasis is placed on intelligent machines and systems and perception for unstructured environments, where a significant portion of the environment is unknown and cannot be directly sensed or controlled.