[agents] SAC 2021 - Intelligent Robotics and Multi-Agent Systems (IRMAS) track: Submission Deadline Extended

Alberto Castellini alberto.castellini at univr.it
Tue Sep 22 02:30:45 EDT 2020


** Deadline extended to September 28, 2020, 11:59pm (UTC) **

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Second Call for Papers for the
Intelligent Robotics and Multi-Agent Systems (IRMAS)
Technical track on SAC 2021 - 36th ACM Symposium on Applied Computing
https://sac2021-irmas.isr.uc.pt

March 22-26, 2021
Gwangju, South Korea
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* Accepted papers will be included in the ACM SAC 2021 proceedings and
published in the ACM digital library, being indexed by Thomson ISI Web of
Knowledge and Scopus. Top-quality papers will be invited after the
conference for submission, in extended form, to a special issue of a ISI
indexed journal *.


:: Important Dates

** Paper submission: Sep. 28, 2020, 11:59pm (UTC) ** (DEADLINE EXTENDED)
Acceptance notification: Nov. 10, 2020
Final paper submission: Nov. 25, 2020


:: 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 2021 (
http://www.sigapp.org/sac/sac2021/) is sponsored by the ACM Special
Interest Group on Applied Computing (SIGAPP), and will be held in Gwangju,
South Korea. The technical track on Intelligent Robotics and Multi-Agent
Systems (IRMAS) will be organized for the seventh time in SAC 2021,
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.


:: Topics

- Autonomous robots
- Multi-agent systems (MAS) theory
- Cooperative robotics and cooperative MAS
- Multi-robot systems
- Coordination and cooperation
- Distributed control architectures
- Human-robot interaction
- Human-robot collaboration
- 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 robotics
- 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://sac2021-irmas.isr.uc.pt/index.php/submission

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 2021 proceedings and
published in the ACM digital library, being indexed by Thomson ISI Web of
Knowledge and Scopus. Top-quality papers will be invited after the
conference for submission, in extended form, to a special issue of a ISI
indexed journal *.
Paper size is limited to 8 pages. A maximum of 2 additional pages may be
included for an additional fee. The review process will be double-blind.
This means that authors' names and affiliations must not appear in the
paper, self-citations should be in the third person, and authors must avoid
disclosing their identity by any means. 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 mandatory 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 4
pages) to the Student Research Competition (SRC), following the
instructions published at SAC 2021 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)
Denis Wolf (University of São Paulo, Brazil)

For further information on SAC 2021 IRMAS track, please contact one of the
track chairs:
rprocha [at] isr.uc.pt, or denis [at] icmc.usp.br
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