[robotics-worldwide] [meetings] Call for Participation--ICRA full-day workshop:Sensor-Based Object Manipulation for, Collaborative Assembly(SOMCA), 29th, May, Singapore

Mon May 15 00:32:21 PDT 2017

Dear Colleagues,
[We apologize in advance if you receive multiple copies of this message]

Call for participation:

ICRA 2017 Full-day Workshop - Sensor-Based Object Manipulation for
Collaborative Assembly(SOMCA), *May 29th,** 2017** Singapore*.
Link: https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_view_somca_home&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=prngcbYj2kEHwcuDmX3sULWzlbPM5EHpbJ7K2GAWxQA&s=cgLqDb77-hOTVCu_t6tnaArt-NAtHxAf4bDqj4MKA7U&e= 


Object manipulation encompasses a large variety of research activities,
from grasping to fine manipulation. During the past decade, the interests
in robot object manipulation have developed, from basic researches broad
industry profiles, from physics-based modeling to sensor-based learning,
from stand-alone robot applications to human robot collaboration. The
driving force behind this shift is the vision that many practical robot
applications, such as assembly, including inevitable modeling
uncertainties, which require the use of sensor-based approaches to design
reactive skills for robots. Moreover, these tasks are still difficult to
be accomplished with robots alone, and need combination of the
flexibility of human workers and the productivity of robots. In order to
improve the
collaborative assembly capabilities and efficiency, we need to answer
following questions.

1. What kind of control strategies and end-effectors are needed in robot
   assembly tasks? How can we achieve and improve it?
2. How to model the cooperation between human and robots so that the
   assembly task can be implemented in an optimal way?
3. How to represent the collaborative assembly tasks in order to leverage
   the power of learning to design efficient controllers?

The aim is to bring researchers from both industry and academia to set
the basis and define core open problems for collaborative assembly, such
as planning, control, learning, design and perception. This workshop
will also discuss advantages, limitations, challenges and progress with
different approaches along these lines.

The workshop topics include (but are not limited to) the following:
- Task planning for collaborative assembly
- Robots’ hardware optimization for collaborative application
- Control strategy for object manipulation/ collaborative assembly
- Learning the object manipulation skill from human demonstration
- Improving the object manipulation skill by exploration learning
- Integrate haptic perception and vision for collaborative assembly
- In-hand object manipulation
- Sensor fusion based on tactile, force and vision feedback

Invited Speakers:
1. Alberto Rodriguez, MIT (*Confirmed, Academia*)
2. Yu Sun, University of South Florida (*Confirmed, Academia*)
3. Kensuke Harada, AIST (*Confirmed, Academia*)
4. Kenji Tahara, Kyushu University (*Confirmed, Academia*)
5. Sergey Levine, UC Berkeley (*Confirmed, Academia*)
6. Sami Haddadin, Franka Robotics, (*Confirmed, Industrial*)
7. Hao Ding, ABB (*Confirmed, Industrial*)
8. Zhaopeng Chen, DLR (*Confirmed, Industrial*)
9. Sebastian Hoepfl, Schunk (*Confirmed, Industrial*)
10.Vincent Duchaine, co-founder of Robotiq (*Confirmed, Industrial*)


1. Miao Li, Associate Professor, Wuhan University, China,
2. Hao Ding, Principal Scientist & Project Lead, ABB Corporate
   Research Germany, Address: Wallstadter Str. 59, 68526 Ladenburg, Germany
3. Qiang Li, Senior Researcher, CITEC,Bielefeld University, Germany
4. Zhaopeng Chen, Senior Researcher, German Aerospace Center

Viele Grüße

Dr. Qiang Li

Neuroinformatik Group
Cognitive Interaction Technology - Center of Excellence (CITEC)
Bielefeld University     | Office: 3.223
                         | Phone:  +49 (0)521 106-12107
Inspiration 1            | Fax:    +49 (0)521 106-6011
33619 Bielefeld          | Email:  qli at techfak.uni-bielefeld.de
Germany                  | WWW:    www.neuroinformatik.de

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