[AllUsers-ISR] CfP: Intelligent Robotics and Multi-Agent Systems (IRMAS) Technical track @ SAC 2017

[Rui Rocha]

(Apologies for multiple copies due to cross-posting)

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                       Call for Papers for the
          Intelligent Robotics and Multi-Agent Systems (IRMAS)
Technical track on SAC 2017 - 32nd ACM Symposium on Applied Computing
               http://ap.isr.uc.pt/events/sac2017-irmas/

                           April 3-7, 2017
                         Marrakech, Morocco
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:: Important Dates

** Paper submission:          Sep. 15, 2016 **
    Acceptance notification:   Nov. 10, 2016
    Final paper submission:    Nov. 25, 2016


:: Objectives and Scope

The ACM Symposium on Applied Computing (SAC) has been a primary 
gathering forum for applied computer scientists, computer engineers, 
software engineers, and application developers from around the world. 
SAC 2017 (http://www.sigapp.org/conferences/sac/sac2017/) is sponsored 
by the ACM Special Interest Group on Applied Computing (SIGAPP), and 
will be held in Marrakech, Morocco. The technical track on Intelligent 
Robotics and Multi-Agent Systems (IRMAS) will be organized for the third 
time in SAC 2017, exploiting the inherent synergy between Robotics and 
Multi-Agent Systems (MAS), thus aiming to bring together these highly 
related and exciting research fields.
Robotics is a multidisciplinary research area that presents an enormous 
potential. It concerns about developing intelligent robotic systems that 
are capable of making decisions and acting autonomously in real and 
unpredictable environments to accomplish tasks and assist humans in 
relevant application domains for society. Several complex problems 
require the use of teams of robots that share some of the same 
challenges studied in MAS.
MAS are groups of intelligent agents that can perceive and act in a 
given environment to achieve their individual and collective goals. MAS 
enable solving problems that are beyond the individual capabilities and 
knowledge of single agents, not suffering from resource limitations, 
performance bottlenecks, or critical failures usually found in 
centralized problem solvers. Multi-robot systems are often used to 
evaluate and validate MAS with physical robot platforms.
For many years, Robotics and Artificial Intelligence (AI) researchers 
have worked separately in these fields, both fields have matured 
enormously, and today there is a growing interest in getting the two 
fields together. Many in Robotics believe that the focus in the near 
future should be adding capabilities to robots that lie at the core of 
AI research. Reciprocally, AI researchers aim at embedding their 
techniques in physical robots that can perceive, reason and act in real, 
dynamic physical environments. Despite this mutual interest, although 
there are many conferences focusing either on Robotics or AI separately, 
there is a lack of scientific venues where both communities can meet.
The purpose of the IRMAS track is therefore to provide a venue to 
exploit synergies between Intelligent Robotics and MAS, bringing 
together researchers from both fields to share experiences, expose 
issues, and discuss about these exciting fields. Papers that make 
fundamental contributions in either of these two areas are welcome, and 
research that spans both areas is especially encouraged.
* Accepted papers will be included in the ACM SAC 2017 proceedings and 
published in the ACM digital library, being indexed by Thomson ISI Web 
of Knowledge and Scopus *.


:: Topics

- Autonomous robotic systems
- Multi-agent systems (MAS) theory
- Human-robot interaction
- Cooperative robotics and cooperative MAS
- Multi-robot systems
- Coordination and cooperation
- Distributed control architectures
- Human-robot team interaction
- Real-world applications of MAS
- Self-adaptation and learning
- MAS in mobile ad-hoc sensor networks
- Robot localization, mapping, exploration, and navigation
- Artificial perception and computer vision
- Field robotic applications
- Deployment, coverage and patrolling
- Evolutionary robotics and swarm robotics
- Humanoid robots
- Social and service robotics
- Entertainment and educational robots
- Micro and nano robotics
- Robotic dexterous grasping
- Simulation and programming tools for MAS


:: Submission Procedure

To submit a paper, please follow the URL:
https://www.softconf.com/h/sac2017/

Original papers addressing any of the listed topics of interest (or 
related topics) will be considered. Each submitted paper will be fully 
refereed and undergo a double-blind review process by at least three 
referees.
* Accepted papers will be included in the ACM SAC 2017 proceedings and 
published in the ACM digital library, being indexed by Thomson ISI Web 
of Knowledge and Scopus *.
Paper size is limited to 6 pages. A maximum of 2 additional pages may be 
included for an additional fee. The reviews will be blind: authors' 
names and affiliations must not appear in the paper and self-citations 
should be in the third person. Submitted papers must be formatted using 
the ACM SIG format (http://www.acm.org/publications/proceedings-template).
Paper registration is required allowing the inclusion of the paper in 
the conference proceedings. An author or a proxy attending SAC must 
present the paper. This is a requirement for the paper to be included in 
the ACM digital library. No-show of scheduled papers will result in 
excluding them from the ACM digital library.
Graduate students are invited to submit research abstracts (maximum 2 
pages) to the Student Research Competition (SRC), following the 
instructions published at SAC 2017 website. Authors of selected 
abstracts will have the opportunity to give poster presentations of 
their work and compete for three top-winning places. The winners will 
receive cash awards and SIGAPP recognition certificates during the 
conference banquet. Authors of selected abstracts are eligible to apply 
to the SIGAPP Student Travel Award program for support.


:: Track Chairs

  Rui P. Rocha     University of Coimbra, Portugal
  Daniel Kudenko   University of York, UK
  Shaojie Shen     HKUST, Hong Kong, China

For further information on SAC 2017 IRMAS track, please contact one of 
the track chairs:
rprocha at isr.uc.pt, daniel.kudenko at york.ac.uk, or eeshaojie at ust.hk
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