Event Information


ACM SAC 2016 – Track on Intelligent Robotics and Multi-Agent Systems (IRMAS)

Intelligent Robotics and Multi-Agent Systems

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 2016 is sponsored by the
ACM Special Interest Group on Applied Computing (SIGAPP).

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
cooperative 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

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

Robotic dexterous grasping

Simulation and programming tools for MAS


Important Dates

11, 2015


Paper submission

13, 2015


Acceptance notification

11, 2015


Camera-ready submission


Original papers addressing the listed topics
of interest will be considered. Each submitted paper will be fully refereed and
undergo a blind review process by at least three referees. Paper size is
limited to 6
pages. A maximum of 2 additional pages may be included for an additional fee.
The reviews will be double-blind: authors’ names and affiliations must not appear in the paper
and self-citations should
in the third person.

Accepted papers will be published in the
ACM SAC 2016 proceedings. Registration for the conference is strictly required
by at least one of the authors or a proxy, who must attend SAC and present the
is a requirement for the paper to be included in the ACM/IEEE 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.

Track Website


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