[robotics-worldwide] [meetings] 2nd CfP: SAC 2016 track on Intelligent Robotics and Multi-Agent Systems (IRMAS)

Rui Rocha rprocha at isr.uc.pt
Thu Jul 9 04:16:43 PDT 2015

         (Apologies for multiple copies due to cross-posting)

                      Call for Papers for the
         Intelligent Robotics and Multi-Agent Systems (IRMAS)
Technical  track on SAC 2016 - 31st ACM Symposium on Applied Computing

                       April 4-8, 2016
                         Pisa, Italy

:: Important Dates

   Paper submission:		Sep. 11, 2015 
   Acceptance notification:	Nov. 13, 2015
   Final paper submission:	Dec. 11, 2015

:: 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. SAC2016 (http://www.acm.org/conferences/sac/sac2016/) is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Pisa, Italy. In SAC2015, the technical track on Intelligent Robotics and Multi-Agent Systems (IRMAS) joined the former tracks on Intelligent Robotic Systems (ROBOT) and Cooperative Multi-Agent Systems and Applications (CMASA) which had been organized as separate technical tracks in past editions of SAC. In SAC2016, the IRMAS track will be organized for the second time, exploiting the inherent synergy between Robotics and Multi-Agent Systems, 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 multi-agent systems.
Multi-agent systems (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 this 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 2016 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 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 located in the left pane of the conference web site:

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 2016 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/sigs/pubs/proceed/template.html).
For accepted papers, registration for the conference is required by at least one of the authors or a proxy, who *must* attend SAC and present the paper. This is a strict requirement for the paper to be included in the conference proceedings and published in 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 2016 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
 Christopher D. Kiekintveld, Univ. of Texas at El Paso, TX, USA
 M. Ani Hsieh, Drexel University, PA, USA

For further information on SAC 2016 IRMAS track, please contact one of the track chairs:
rprocha at isr.uc.pt, cdkiekintveld at utep.edu, or mhsieh1 at drexel.edu

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