SAC2015 IRMAS - 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 2015 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Salamanca, Spain. This year, the tracks on Intelligent Robotic Systems (ROBOT) and Cooperative Multi-Agent Systems and Applications (CMASA), which were organized in the past SAC editions as separate technical tracks, will be joined into a single track, exploiting the inherent synergy between these two exciting research fields. The new track is called Intelligent Robotics and Multi-Agent Systems (IRMAS), and it aims to be bringing together these highly related 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 valuable tasks. Several complex problems require the use of teams of robots that share some of the same challenges approached by 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, i.e. between Robotics and AI in general, bringing together researchers from both fields to share experiences, expose issues, and discuss about these exciting fields.

Topics of Interest

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

 

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  • Last Modified: Wednesday May 13, 2015, 16:12:59 GMT