[robotics-worldwide] [meetings] Call for Abstracts: IROS'18 Workshop on Examining Sensing Modalities for Robust and Dexterous Object Manipulation

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[robotics-worldwide] [meetings] Call for Abstracts: IROS'18 Workshop on Examining Sensing Modalities for Robust and Dexterous Object Manipulation

Kaiyu Hang
IROS'18 Workshop on Examining Sensing Modalities for Robust and
Dexterous Object Manipulation
Workshop website: https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_view_objmani&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ZXImYNo3MOeW4skV6LwDoU8U5Z1WRuc3HAaTGY62-10&s=89bjUHsu3ctmLnyLHbJyqcxLJ6obuXaanSiX68lA4Ws&e=

We will organize a full day workshop at IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), Madrid, Spain on
October 1, 2018.

Recent years have seen enormous demands in deploying robotic systems in
industry. Being the goal of industry 4.0, flexible and high-precision
manufacturing and fast factory deployment can no longer be satisfied by
only human labors. A large amount of robotic applications have
demonstrated the need of making robots to work with skills similar to
humans or even better than humans, as well as the necessity of enabling
robots to collaborate with human workers. As such, the problem of object
manipulation has been evolved from planning and controlling a robot to
manipulate objects to encompass a much broader range of challenging
problems, such as data-driven manipulation skill learning, multi-armed
manipulation, human-robot collaboration etc. With the rapid developments
in manipulation algorithms and sensing hardwares, the urgent need of
integrating more sensing modalities to better understand the task space
has been shown in both practical industrial applications and research
frontiers. In order to enable the robot to effectively make use of
multiple sensing modalities, so as to better understand tasks, dynamics
and uncertainties, we have to investigate the following questions to
bring the research forward while keeping the problem tractable:

1. What sensing modalities are necessary and unnecessary for different
object manipulation tasks?
2. How to represent different sensing modalities in unified forms to
enable them jointly modeling the information required in a task?
3. How can we design hybrid systems that are able to adaptively switch
between different combinations of sensing modalities to facilitate the
task execution in different manipulation stages?

The aim of this workshop is to bring researchers from both industry and
academia to pave the foundations and to define the core open problems
for multi-modal sensing object manipulation, such as perception,
representation, learning, control, and planning. This workshop will also
discuss advantages, limitations, challenges and progress with different
approaches along these lines.

Call for Abstracts
We invite contributions for poster presentations of early ideas,
experimental results and open research questions. In addition to the
interactive poster presentations, each selected poster will have a
3-minute spotlight talk in the workshop.

If you are interested in presenting a poster, please submit a one page
extended abstract in IROS double-column format to
Submission Deadline: September 1, 2018 (Anywhere on Earth)
Notification of Acceptance: September 8, 2018

Topics of Interest (include but not limited to)

  * The meaning and function of different sensing modalities in object
  * Modeling and representation of sensing modalities
  * Integration of sensing modalities
  * Hardware optimization for sensor fusion
  * Sensing and planning in object manipulation
  * Multi-robot manipulation and coordination
  * Control strategy for object manipulation and collaborative assembly
  * Learning object manipulation skills from human demonstration
  * In-hand object manipulation

Kaiyu Hang, Yale University, CT, USA, (kaiyu(dot)hang(at)yale(dot)edu)
Hao Ding, AAB Corporate Research Germany, Germany,
Miao Li, Wuhan University, China (limiao712(at)gmail(dot)com)
Danica Kragic, KTH Royal Institute of Technology, Sweden
Aaron Dollar, Yale University, USA (aaron(dot)dollar(at)yale(dot)edu)

For any workshop related questions, please feel free to contact one of
the organizers.

Dr. Kaiyu Hang
Postdoctoral Associate
GrabLab, Yale University
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