[robotics-worldwide] [meetings] CFP IEEE RO-MAN'17 Workshop on ARtificial Perception, MAchine Learning and DAtasets for Human-Robot Interaction (ARMADA'17)

Faria, Diego d.faria at aston.ac.uk
Wed May 24 20:34:48 PDT 2017


Dear Colleagues,

On behalf of the workshop organisers, we are pleased to invite you to submit papers to the IEEE RO-MAN'17 Workshop on ARtificial Perception, MAchine Learning and DAtasets for Human-Robot Interaction (ARMADA'17), which will be held on Lisbon, Portugal, September 1st, 2017.

Please, see details below.

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                           ** CALL FOR PAPERS **

IEEE RO-MAN'17 Workshop on ARtificial Perception, MAchine Learning
           and DAtasets for Human-Robot Interaction (ARMADA'17)

Website: https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_site_roman17armada_&d=DwIF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=9y4jZDZ-BdhySZaEOG5Q_g698Ss2H5iceq-1ECYDcf4&s=FPOtJMi2TUxlqVyUc3uBT5eUQd407HhABwQudHo-piE&e= 
Location: Lisbon, Portugal
Date: September 1st, 2017

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IMPORTANT DATES
================
Submission deadline: June 20, 2017
Acceptance notification: July 10, 2017
Camera-ready deadline: July 17, 2017


AIM & SCOPE
============
The aim of this workshop is to bring together researchers and scientists, from academia and industry, to discuss and share she/he experience and knowledge in current and future challenges of intelligent (AI/ML) based sensory systems for human-robot interaction (HRI) and artificial perception.

The main research areas to be considered are:
* Machine learning, AI-based and intelligent algorithms for artificial perception and recognition systems within the context of HRI.
* Multimodal sensor datasets (Mono and Stereo Vision, RGB-D, IMU, laser/Lidar) and evaluation metrics.


TOPICS
=======
The topics of interest include, but are not limited to:
1. Artificial intelligence and machine learning algorithms for HRI
2. ML and intelligent (AI) algorithms applied to perception systems
3. ML and perception for assistive robotics; robotic walker; robotic head
4. Context-based perception for HRI
5. Environment perception and/or scene understanding
6. Cooperative perception
7. Multimodal sensor datasets:
    Mono, Stereo and Thermal cameras, RGB-D, MoCap, IMU, LRF, etc.
8. Benchmarking HRI in robotic applications
9. HRI metrics (including teams)
10. Activity and action recognition
11. Social activity recognition
12. Affective computing
13. Human behaviour analysis


SPEAKERS
=========
1. Adriana Tapus (Robotics and Computer Vision Lab, ENSTA-ParisTech)
2. Estela Bicho (University of Minho)
3. Fulvio Mastrogiovanni (University of Genoa)
4. Jorge Dias (University of Coimbra / ECE-Robotics, Khalifa University)


SUBMISSION INFORMATION
=======================
Prospective participants are welcome to submit either full papers (6 pages) or extended abstracts (4 pages) in the conference format (IEEE standard). The ARMADA’17 Workshop welcomes contributions reporting on original research, work under development and experiments of different fields related to machine learning and perception systems for human-robot interaction scenarios.

Please submit your manuscript (PDF) to d.faria at aston.ac.uk<mailto:d.faria at aston.ac.uk> with the subject “ARMADA paper submission”.  Each paper will receive a minimum of two reviews.

Accepted papers require that, at least, one of the authors to register and attend the Workshop.

The organisers are considering to propose a selection of accepted papers from the Workshop to a journal special issue in a near future.


ORGANISERS
===========
Diego Resende Faria, EAS, Aston University, Birmingham, UK.
Cristiano Premebida, ISR-UC, University of Coimbra.


On behalf of the workshop organizers
Best Regards



_____________________________________
Dr Diego Resende Faria
Lecturer in Computer Science
School of Engineering & Applied Science
Aston University, Birmingham, B4 7ET, UK
Room MB 211-D,  Tel: +44 (0) 1212 044 868
https://urldefense.proofpoint.com/v2/url?u=http-3A__cs.aston.ac.uk_-7Efariad&d=DwIF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=9y4jZDZ-BdhySZaEOG5Q_g698Ss2H5iceq-1ECYDcf4&s=R00WYTIUpON85OnUDnt5lblOHBe-Kb3ePURj7IjvUJs&e= 



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