[robotics-worldwide] [meetings] International Workshop on Cooperative Dynamic SLAM - Call for Participation

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[robotics-worldwide] [meetings] International Workshop on Cooperative Dynamic SLAM - Call for Participation

Ivan Petrovic
Call for Participation:

International Workshop on Cooperative Dynamic Simultaneous Localization and Mapping

Zagreb, Croatia on Tuesday, September 19, 2017


Dear Colleagues,

We are pleased to invite you to participate in the full day Workshop "International Workshop on Cooperative Dynamic Simultaneous Localization and Mapping" to be held at the University of Zagreb, Faculty of Electrical Engineering and Computing, in Zagreb, Croatia on Tuesday, September 19, 2017

The workshop is open to all interested participants.  Prior registration via email to [hidden email]<mailto:[hidden email]> or [hidden email]<mailto:[hidden email]>, no later than September 11, 2017, is required. Please include your first and last name, and the name of your institution in your registration email. The number of participants is limited, so please register as soon as possible.

If you would like to participate in the poster session with your poster, please contact us via email at [hidden email]<mailto:[hidden email]> or [hidden email]<mailto:[hidden email]>.

Workshop Organisers:

Ivan Petrovic, University of Zagreb, Croatia, [hidden email]<mailto:[hidden email]>
Dana Kulic, University of Waterloo, Canada, [hidden email]<mailto:[hidden email]>

Workshop Objectives:

Over the last several decades, robotics has been a key technology for achieving high productivity and industrial competitiveness. Recently, robotics has begun expanding intensively outside of industrial settings, bringing robots closer to humans and into human environments. One of the main prerequisites for autonomous robot operation in unknown, highly dynamic environments populated by humans or other robots is to jointly perform (i) detection and tracking of moving objects (DATMO) and (ii) simultaneous localization and mapping (SLAM). The DATMO task is necessary due to the presence of a large number of moving objects, which should be avoided during navigation, but can also be used for the SLAM task, allowing the robot to infer its position and relate it to other objects of interest more efficiently, even in highly dynamic environments.

Both these tasks traditionally rely on stochastic estimation approaches, and recently the research community has begun investigating how these approaches can be applied to the geometry of non-Euclidean manifolds, such as special orthogonal and special Euclidean groups, for both planar and general 3D movement.

In order to be able to more efficiently execute the SLAM task, or to enable robots which have just started operating to immediately exploit the experience of veteran team members, multi-agent systems exploiting information sharing between team members and the cloud have also recently been proposed.

The International Workshop on Cooperative Dynamic Simultaneous Localization and Mapping aims to bring together leading international researchers to highlight state-of-the-art achievements in the DATMO and SLAM fields, discuss the work to date and the potential of the cooperative dynamic SLAM boosted by in-cloud technologies, both from the research and application prospective.

Invited Speakers:

Davide Scaramuzza, University of Zurich, Switzerland

Jonathan Kelly, University of Toronto, Canada

Juan Andrade Cetto, Institut de Robotica i Informatica Industrial, CSIC-UPC, Barcelona, Spain

Denis GaragiĂŚ, BAE Systems, Massachusetts, USA

Tomas Krajnik, Czech Technical University in Prague, Czech Republic

Robert Cupec, University of Osijek, Croatia

Dražen BršèiÌ, University of Rijeka, Croatia

More information at: https://urldefense.proofpoint.com/v2/url?u=http-3A__cloudslam.fer.hr_cloudslam_workshop&d=DwIFBA&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=g6qkjHRdHWjXZ8JhW05MxU8qk7H205jELFgiPYBr7bw&s=FuiTYGhvXmiY54FV2-BHsZJzxBHcodv9uqoDf9Sr4RE&e=

Professor Ivan Petrovic

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering
Unska 3, HR-10000 Zagreb, CROATIA
Phone: +3851/6129-844
Fax: +3851/6129-809
URL: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.fer.hr_en_ivan.petrovic&d=DwIFBA&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=g6qkjHRdHWjXZ8JhW05MxU8qk7H205jELFgiPYBr7bw&s=iKA4vbRfHBge-90y_uym6aZGdqNZNtgcXANOQ9rkys0&e=
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