[robotics-worldwide] [journals] CfP - AURO Special Issue on Learning for Human-Robot Collaboration

Leonel Rozo leonel.rozo at iit.it
Mon Sep 26 00:41:55 PDT 2016


[Apologies for cross-posting]

Dear colleagues,

We are pleased to announce the Call for Papers of the AURO special Issue 
on "Learning for Human-Robot Collaboration". Please see all the details 
below.


/Autonomous Robots Journal/ Special Issue:

*Learning for Human-Robot Collaboration*
Deadline: _November 30th, 2016_

Once isolated behind safety fences, the new emerging generation of 
robots endowed with more precise and sophisticated sensors, as well as 
better actuators, are materializing the idea of having robots working 
alongside people not only on manufacturing production lines, but also in 
spaces such as houses, museums, and hospitals. In this context, one of 
the next frontiers is the collaboration between humans and robots, which 
raises new challenges for robotics. A collaborative robot must be able 
to assist humans in a large diversity of tasks, understand its 
collaborator's intentions as well as communicate its own, predict human 
actions to adapt its behavior accordingly, and decide when it can lead 
the task or when just follow its human counterpart. All these aspects 
demand the robot to be endowed with an adaptation capability so that it  
can satisfactorily collaborate with humans. In this sense, learning is a 
crucial feature for creating robots that can execute different tasks, 
and rapidly adapt to its human partner's actions and requirements.

The goal of this special issue is to document and highlight recent 
progress in the use of machine learning for human-robot collaboration 
tasks. In recent years, various interesting approaches and systems have 
been proposed that tackle different aspects of human-robot 
collaboration. This journal special issue will therefore present the 
state-of-the-art in the field and discuss future challenges and research 
opportunities.

List of topics:
Papers addressing one or more of the topics below in the context of 
human-robot collaboration are of particular interest:

* Learning from demonstration
* Reinforcement learning
* Active learning
* Force and impedance control
* Physical human-robot interaction
* Human-robot coordination
* Recognition and prediction of human actions
* Reactive and proactive behaviors
* Roles allocation
* Haptic communication
* Cooperative human-human interaction
* Human activity understanding
* Learning from tactile experiences
* Human-robot collaborative tasks in manufacturing

Important Dates:
* Paper submission deadline: November 30th, 2016
* Notification to authors: January 15, 2017
* Final manuscript due: February 1st, 2017
* Final decision: February 15th, 2017

Guest editors:
Heni Ben Amor (hbenamor at asu.edu) - Assistant Professor (Arizona State 
University)
Leonel Rozo (leonel.rozo at iit.it) - Senior postdoctoral fellow (Italian 
Institute of Technology IIT)
Sylvain Calinon (sylvain.calinon at idiap.ch) - Permanent Researcher (IDIAP 
research institute)
Dongheui Lee (dhlee at tum.de) - Assistant Professor (Technical University 
of Munich)
Anca Dragan (anca at berkeley.edu) - Assistant Professor (UC Berkeley)

Submission:
Papers must be prepared in accordance with AURO guidelines.
All papers will be reviewed following the regular reviewing procedure of 
the journal.

More information at:

https://urldefense.proofpoint.com/v2/url?u=http-3A__static.springer.com_sgw_documents_1576377_application_pdf_AURO-2BCFP-2B-2D-2BHuman-2DRobot-2BCollaboration.pdf&d=DQICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=tMuaS9OKHMjfH9tKYcDA_TiR3MVr1acwPcPt16uOk6Y&s=sBDw4GKn7fiOgKTW93sodKfTh1ZQkVgKUov8tt0YCYM&e= 


-- 
Leonel Rozo,
Senior postdoctoral researcher
Advanced Robotics Department
Istituto Italiano di Tecnologia (IIT)
https://urldefense.proofpoint.com/v2/url?u=http-3A__leonelrozo.weebly.com_&d=DQICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=tMuaS9OKHMjfH9tKYcDA_TiR3MVr1acwPcPt16uOk6Y&s=PtbWtWbnncjH5JPX6-JVgr17_OA_qiced_Mf9re9hZU&e= 



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