Call for Papers

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 2025 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Sicily, Italy. In SAC 2015, 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. The IRMAS track will be organized for the eleventh time in SAC 2025, 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 go 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 there has been 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 still 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 Robotics and AI, more precisely 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 2025 proceedings and published in the ACM digital library, being indexed by Thomson ISI Web of Knowledge and ScopusTop-quality papers will be possibly invited after the conference for submission, in extended form, to a special issue of an ISI indexed journal.

Topics of Interest

      Autonomous robots         Collaborative robots
      Multi-agent systems (MAS)     Real-world applications of MAS
      Multi-robot systems and cooperative robots     Human-robot interaction
      Distributed coordination and optimization     Human multi-robot interaction
      Swarm robotics and bio-inspired intelligence     Human-swarm interaction
      Robot localization, mapping and navigation     Field robotics
      Deployment, coverage and patrolling     MAS in mobile ad-hoc sensor networks
      Informative planning and adaptive sampling     Social and service robotics
      Sensor fusion and multimodal perception     Microrobotics and nanorobotics
      Cooperative and distributed perception     Entertainment and educational robots
      Self-adaptation, deep learning and RL     Simulation and programming tools for MAS

 

Download the Call for Papers of SAC 2025 IRMAS track in PDF