[robotics-worldwide] [meetings][CfP]Workshop on Latest Advances in Big Activity Data Sources for Robotics and New Challenges

Asil Kaan Bozcuoğlu asil at uni-bremen.de
Tue Jul 10 02:29:58 PDT 2018

***Call for Papers***
IROS 2018 Workshop on Latest Advances in Big Activity Data Sources for
Robotics and New Challenges (BDSR 2018)

October 1, 2018
Madrid, Spain

URL: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.open-2Dease.org_activity-2Ddata-2Dworkshop_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ObS7Gesp23yrXQZAbnRR9d0FXwtLpN2WOfFpwyf_6K4&s=e4vAYhX4JQQlWb5abU8Lx-7y1ZWjDwjs7NUISz-i9A0&e=

*Important Dates*
- Submission Deadline: August 5, 2018
- Notification of Acceptance : August 25, 2018
- Camera-ready submissions: September 5, 2018
- Workshop day: October 1, 2018

Contact and submission: bdsr.workshop at gmail.com

We are calling for contributions to the full day IROS 2018 workshop on on
Latest Advances in Big Activity Data Sources for Robotics and New
Challenges. We would like to invite the attendees of this workshop to
submit their papers (max. 4 pages + references) explaining their current
work or developed systems in the areas of reasoning, perception, control,
planning, and learning applied to robotic systems.

**Workshop Description**

This workshop is intended for roboticists interested in improving the
reliability and autonomy of robots by leveraging big activity data sources.

We hope to bring together outstanding researchers and graduate students to
discuss current trends, problems, and opportunities in activity
representations, encouraging communication and common practices such as
sharing datasets and data formats among scientists in this field.

Topics of interest include, but are not limited to:

-Big Data Sources for Robotics

Cloud-based Big Data Sources
Motion databases

–  Virtual Reality in Robotics Applications

Designing VR-based Games with Purposes
Activity Recognition and Recording in VR Frameworks
Learning and Reasoning from VR

– Representations of Activities and Motions in Datasets

– Learning from Human-tracking

– Representations of Activity Data inside Symbolic Knowledge Bases

*Invited Speakers  (in alphabetical order)*
- Tamim Asfour, KIT, Germany (confirmed)
- Michael Beetz, University of Bremen, Germany (confirmed)
- Tetsunari Inamura, National Institute of Informatics, Japan (final
confirmation pending)
- Katja Mombaur, IWR Heildelberh, Germany (confirmed)
- Wataru Takano, Osaka University, Japan (final confirmation pending)

- Asil Kaan Bozcuoğlu, University of Bremen, Germany
- Tamim Asfour, KIT, Germany
- Karinne Ramirez-Amaro, TUM, Germany
- Gordon Cheng, TUM, Germany

Asil Kaan Bozcuoğlu, M.Sc.
Institute for Artificial Intelligence,
University of Bremen

Visitor Address:
Am Fallturm 1, Entrance E
Office 1.56
Bremen, Germany D-28359

email: asil at cs.uni-bremen.de
web: https://urldefense.proofpoint.com/v2/url?u=http-3A__ai.uni-2Dbremen.de_team_asil-5Fkaan-5Fbozcuoglu&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ObS7Gesp23yrXQZAbnRR9d0FXwtLpN2WOfFpwyf_6K4&s=eL3PggsCvdW5T78qSwCKglZkpUxfEvRvprbdqCrJoBs&e=
phone (office): +49 421 218 64044
fax: +49 421 218 64047

Open-EASE - Web Analysis Tool for Robot Experience Data:

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