Technical track on Intelligent Robotics and Multi-Agent Sytems (IRMAS) @ SAC 2017

Thursday, 30 March, 2017
Marrakech, Morocco
Hosting conference: 
SAC2017 - 32nd ACM/SIGAPP Symposium on Applied Computing
Rui P. Rocha, University of Coimbra, Portugal
Daniel Kudenko, University of York, United Kingdom
Shaojie Shen, Hong Kong University of Science & Technology (HKUST), China
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. SAC2017 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Marrakech, Morocco. 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 SAC2017, the IRMAS track will be organized for the third 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 2017 proceedings and published in the ACM digital library, being indexed by Thomson ISI Web of Knowledge and Scopus.
Deadline for submission: 
Thursday, 15 September, 2016