[robotics-worldwide] [meetings] ICRA workshop on Learning for Industry 4.0: feasibility and challenges

Pietro Falco pietro.falco at se.abb.com
Tue Mar 5 02:51:28 PST 2019

Dear Colleagues,
You are welcome to attend the ICRA workshop "Learning for Industry 4.0: feasibility and challenges" on May 24.
Website: https://urldefense.proofpoint.com/v2/url?u=https-3A__icra19linch.wordpress.com_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=spAkKM3ogEj7SQuR-kbbkJC9uElPhA0eDIDd97uiLhc&s=XMavKk45SLQVq6Gv-VL1jA9YiaspuhMaxsJAHu3neOg&e= 

The Industry 4.0 revolution wants to radically change the industrial production, favoring a tight interaction between human workers and intelligent machines. The goal of this revolution is to increase the productivity while keeping high quality standards. This workshop aims at offering a different point of view on machine learning in robotics, which is the point of view of modern manufactures. Factories have specific requirements in terms of safety, repeatability, and predictability that "intelligent" machines have to satisfy. However, some of the requirements are often neglected in academic research.
The scope of this workshop is reduce the gap between machine learning research and smart factories. We want to give the possibility to young researchers, such as Post-Docs and Ph.D. students, to discuss their ideas and preliminary results with worldwide recognized experts in the fields of machine learning, robot control, manipulation, sensor and actuator design. Moreover, an important objective is to stimulate discussion and dialogue between industrial and academic researchers to reduce the gap between the capability of lab prototypes and the requirements of industrial application.
Some of the questions we will try to answer are:
.Which factors limit the applicability of machine learning techniques in industrial scenarios?
.How learning and intuitive programming can help flexible manufacturing?
.Can we speed-up the learning process for complex robotic tasks?
.Which is the role of mobile and dexterous manipulation in smart factories?
.Are available sensors and actuators suitable for industrial tasks?

Topics of Interest
 .Intuitive robot programming
.Learning for flexible manufacturing
.Learning under irreversible events
.Deep learning for industrial applications .Data-efficient learning approaches .Navigation and mobile manipulation in industry .Sensors and actuators for reliable and robust learning

CALL for contribution:
We welcome researchers in the field to submit papers to be presented as posters. Submitted manuscripts should be between 2 and 4 pages, formatted according to ICRA standards using the Paper Template downloadable on the IEEE ICRA 2019 website (two-column format). Submission of videos accompanying the papers is always encouraged.
Video submissions are also welcomed. For video submissions, we require a video no longer than 3 minutes formatted according to ICRA standards and an extended abstract (1 to 2 pages using ICRA 2019 Paper Template) describing the results in the video. Authors of accepted papers will present their work during the poster sessions.
Please submit your contributions through our EasyChair platform before April 1. Each contribution will receive a minimum of two reviews. Papers and videos will be selected based on their originality, relevance to the workshop topics, contributions, technical clarity, and presentation. Accepted papers and videos require that at least one of the authors register to the workshop. Accepted papers and videos will not appear in the conference proceedings.
To submit your contributions please follow: https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dicra19linch&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=spAkKM3ogEj7SQuR-kbbkJC9uElPhA0eDIDd97uiLhc&s=5M7FcBGjEwHqbSdsDElJeIoqIgmSw_9IEnKsFFAAk-s&e=
Important dates:
. Submission deadline for papers and videos: 1 April, 2019
 . Notification of acceptance: 22 April, 2019

Matteo Saveriano (DLR) ,Pietro Falco (ABB Corporate Reserach), Sylvain Calinon (IDIAP)

On behalf of the organizers,
Pietro Falco

Pietro Falco, Ph.D.
Senior Scientist
ABB AB, Corporate Research
Forskargränd 7
SE 72178, Västerås
Phone: +46 72 2301675

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