[Extended Deadline]
Call for Papers AVHRC 2020 – Active Vision and perception in Human(-Robot) Collaboration Workshop – Virtual Conference

@RO-MAN 2020 – THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION

NAPLES, ITALY, FROM AUGUST 31 TO SEPTEMBER 4, 2020.

 ** NEWS**

The transformation of the workshop into a virtual event guarantees greater flexibility.
Therefore, the deadline for contributions to AVHRC 2020 – Collaborative workshop on active vision and perception in humans (-Robot) – The virtual conference has been extended to July 17 to allow more refined contributions.

 ** PREVIOUS NEWS**

Due to the international COVID-19 crisis, the AVHRC 2020  workshop and the main conference RO-MAN2020 will be completely virtual events. The exact schedule is not decided yet but the changes from the original schedule will be limited. More information will be available soon at http://ro-man2020.unina.it/.

Key Dates

=========

Submission opening: May 1, 2020

Submission deadline: July 17, 2020 June 25, 2020

Notification: August 10, 2020 July  15, 2020

Camera ready: August 20, 2020 July 30, 2020

Workshop: August 31, 2020

**Workshop website: ***

https://www.essex.ac.uk/departments/computer-science-and-electronic-engineering/events/avhrc-2020

**Submission website: ***

https://easychair.org/conferences/?conf=avhrc2020

Publication

============

All accepted papers will be published on the workshop website.

Selected papers will be published with a discounted fee in a dedicated topic of Frontiers in Neurorobotics: https://www.frontiersin.org/research-topics/13958/active-vision-and-perception-in-human-robot-collaboration

A best paper award will be announced, offering a full publication fee waiver.

Submission Guidelines

=====================

Two types of submissions are invited to the workshop: long papers (6 to 8 pages + n references pages) and short papers (2-4 pages + n references pages). In both cases there is no page limit for the bibliography/references (n pages) section.       

All submissions should be formatted according to the standard IEEE RAS Formatting Instructions and Templates avialble at http://ras.papercept.net/conferences/support/tex.php. Authors are required to submit their papers electronically in PDF format.

Submission link: https://easychair.org/conferences/?conf=avhrc2020

At least one author of each accepted paper must register for the workshop. 
For any questions regarding paper submission, please email us: dimitri.ognibene@gmail.com

Presentation

==============

Papers will be presented in short talks and/or poster spotlights.

The organisers would like to reassure authors that, independently of any potential restriction due to the COVID-19 situation, it will be possible to present all accepted papers and to attend the keynotes, either in person or remotely, following the same rules and the same procedure of the main conference. At what is a difficult time for many people, we look forward to sharing our work with the community despite any restrictions and we invite interested colleagues to join us. More information can be found here: http://ro-man2020.unina.it/announcements.php

Topics

========

•               Cognitive Social Robotics.

•       Active perception for intention and action prediction

•       Activity and action perception in ecological conditions

•       Bioinspired and neuromorphic vision for activity recognition

•       Active perception for social interaction

•       Active perception for social navigation

•       Brain-Inspired solutions for active social perception

•       Human-robot collaboration in unstructured environments

•       Human-robot collaboration in presence of sensory limits

•       Joint Human-Robot search and exploration

•       Testing setup for social perception in real or virtual environments

•       Setup for transferring active perception skills from humans to robots

•       Machine learning methods for active social perception

•       Benchmarking and quantitative evaluation with human subject experiments

•       Gaze-based Factors for Intuitive Human-Robot Collaboration

•       Active perception modelling for social interaction and collaboration

•       Head-mounted eye tracking and gaze estimation during social interaction

•       Estimation and guidance of partner situation awareness and attentional state in human-robot collaboration

•       Multimodal active social perception

•       Adaptive embodied social perception

•       First Person (Egocentric) Vision for Actions and Object Recognition and Anticipation

•       Egocentric vision in social interaction;

•       Explicit and implicit sensorimotor communication;

•       Social attention;

•       Natural human-robot (machine) interaction;

•       Joint attention;

•       Multimodal social attention;

•       Attentive activity recognition;

•       Belief and mental state attribution in robots

Invited Speakers

================

        • Giulio Sandini, Italian Institute of Technology, Italy
        • Fiora Pirri, Università di Roma “La Sapienza”, Italy
        • Tom Foulsham, University of Essex, UK
        • Angelo Cangelosi, University of Manchester, UK
        • David Rudrauf, University of Geneve, Switzerland
        • Giuseppe Boccignone, Università di Milano, Italy

Background

=============

Humans naturally interact and collaborate in unstructured social environments that produce an overwhelming amount of information and may yet hide behaviourally relevant variables. Finding the underlying design principles that allow humans to adaptively find and select relevant information is important for Robotics but also other fields, such as Computational Neuroscience, Interaction Design, and Computer Vison.

Current solutions cover specific tasks, e.g. autonomous cars, and usually employ over-redundant, expensive, and computationally demanding sensory systems that attempt to cover the wide set of sensing conditions which the systems may have to deal with. A promising alternative is to take inspiration from the brain. Adaptive control of sensors and the perception process is a key solution found by nature to cope with computational and sensory demands, as shown by the foveal anatomy of the eye and its high mobility.

Alongside this application of “active” vision, collaborative robotics has recently progressed to human-robot interaction in real manufacturing. Partners’ gaze behaviours are a crucial source of information that humans exploit for collaboration and coordination. Thus measuring and modelling task-specific gaze behaviours seems to be essential for smooth human-robot interaction. Indeed, anticipatory control for human-in-the-loop architectures, which can enable robots to proactively collaborate with humans, could gain much from parsing the gaze and actions patterns of the human partners.

We are interested in manuscripts that present novel, brain inspired computational and robotic models, theories and experimental results as well as reviews relevant to these topics. Submissions should further our understanding of how humans actively control their perception during social interaction, in which conditions they fail, and how these insights may enable natural interaction between humans and embodied artificial systems in non-trivial conditions.

    Organizers

==================

Main organiser
Dimitri Ognibene, University of Essex, UK & University of Milano-Bicocca, Italy

Communication Organisers

 Francesco Rea, Instituto Italiano di Tecnologia, Italy

 Francesca Bianco,University of Essex, UK

Vito Trianni, ISTC-CNR, Italy

Ayse Kucukyilmaz, University of Nottingham, UK

Lucas Paletta, JOANNEUM RESEARCH, Austria

Review Organisers

        Angela Faragasso,  The University of Tokyo, Japan

        Manuela Chessa, University of Genova

        Fabio Solari, University of Genova

        David Rudrauf,  University of Geneve, Switzerland

        Yan Wu,  Robotics Department, Institute for Infocomm Research, A*STAR, Singapore

Publication Organisers

Fiora Pirri, Sapienza – University of Rome, Italy

Letizia Marchegiani, Aalborg University, Denmark

Tom Foulsham, University of Essex, UK

Giovanni Maria Farinella, University of Catania, Italy

   Sponsor
=============================

Frontiers in Neurorobotics

SS on Emerging ML and Data-driven Approches for Network Optimization

IEEE CAMAD 2020 (held VIRTUALLY)

https://camad2020.ieee-camad.org/

Reduced Registration fees for IEEE COMSOC MEMBERS: USD 200

* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* *

The foundation of 5G and beyond mobile networks lies in the convergence
between networking and computing. The most appealing realization of such
convergence is the application of artificial intelligence (AI) and
machine learning (ML) to optimize network functions. The latter has
generated an increasing interest from academia and industry paving the
path for the transformation from the 5G paradigm “connected things” into
a “connected intelligence” vision for beyond 5G and 6G mobile networks.
To this end, the role of AI/ML is to support zero-touch configuration
and orchestration, thereby enabling self-configuration and
self-optimization of the mobile network. Mobile networks are indeed
becoming increasingly complex, heterogeneous, dynamic and dense, which
makes extremely hard to model correctly their behavior. Model-free
solutions that AI enable can overcome such challenge.

This Special Session seeks contributions from experts in areas such as
network programming, distributed systems, machine learning, data
science, data structures and algorithms, and optimization to discuss the
latest research ideas and results on the application of AI/ML to
networking. Specifically, this Special Session welcomes contributions in
the following major areas (indicative list, other related topics will
also be considered):

– Machine learning (ML) and big data analytics in networking
– Case studies showing (dis)advantages of AI/ML techniques for
networking over traditional ones
– Edge-driven data analytics and applications to smart cities
– AI/ML assisted network optimization
– Resource-efficient machine learning for mobile networks
– Measurements and analysis of network traffic for AI/ML systems
– Efficient ML data structures, algorithms and network protocols to
process network monitoring data
– Approaches for privacy-aware network traffic data collection
– Architectures for federated learning and its applications to
networking
– Energy-efficient federated learning
– Incentive mechanisms of federated learning
– In-network computation for next generation wireless networks

** IMPORTANT DATES **

Submission Deadline: June 28th (Extended)
Notification Acceptance: July 25th
Camera-Ready due: July 31st

** SUBMISSION INSTRUCTIONS **

Prospective authors are invited to submit a full paper of not more than
six (6) IEEE style pages including results, figures and references.
Papers should be submitted via EDAS. Papers submitted to the conference,
must describe unpublished work that has not been submitted for
publication elsewhere. All submitted papers will be reviewed by at least
three TPC members, while submission implies that at least one of the
authors will register and present the paper at the conference.
Electronic submission will be carried out through the EDAS web site at
the following link: https://edas.info/newPaper.php?c=27371&track=101982

All accepted papers will be included in the conference proceedings and
IEEE digital library (http://ieeexplore.ieee.org/).

**** COVID-19 Restrictions ****

As you may be aware, the World Health Organization officially declared
the novel coronavirus COVID-19 a pandemic. This global health crisis is
a unique challenge that has impacted many members of the IEEE family. We
would like to express our concern and support for all the members of the
IEEE community, our professional team, our families and all others
affected by this outbreak.

Governments around the world are now issuing restrictions on travel,
gatherings, and meetings in an effort to limit and slow the spread of
the virus. The health and safety of the IEEE community is our first
priority and IEEE is supporting these efforts.

Following the advice and guidelines from healthcare officials and local
authorities, the IEEE CAMAD 2020 will now be held virtually on 14-16
September.

IEEE publications continue to accept submissions and publish impactful
cutting-edge research. Our online publications remain available to
researchers and students around the world.

Accepted papers for the IEEE CAMAD 2020 will be submitted for inclusion
in IEEE Xplore Digital Library after they are presented at the virtual
conference. Information and instructions on how to prepare for a virtual
presentation will be sent separately.

Registration fees for the IEEE CAMAD 2020 have been adjusted. Authors
and non-authors who have registered at the original fees will be
refunded the price difference.

We extend our heartfelt thanks and appreciation to all of our technical
community for your understanding and community engagement. Although the
IEEE CAMAD 2020 cannot be held physically, the integrity and quality of
the research and content will remain and now be experienced in the
virtual environment. Thank you for your support of our shared mission to
advance technology for humanity.

** ORGANIZERS **
Claudio Fiandrino (IMDEA Networks Institute, Spain)
Andrea Capponi (University of Luxembourg)