Effective deployment of multi-robot teams requires solving several interdependent problems
at varying levels of abstraction. Specifically, heterogeneous multi-robot systems must …

The core of human cooperation is people's ability to perform joint actions. Frequently, this
requires effectively decomposing a joint task into individual subtasks, for example, when …

Current machine intelligence metrics rely on a different philosophy, hindering their effective
comparison. There is no standardization of what is machine intelligence and what should be …

Each human usually plans his or her future activities in advance, trying to select those
actions and to sort them in such a way that as many goals as possible are accomplished …

Robot swarms have many virtues for large-scale task execution: this includes redundancy, a
high degree of parallel task implementation, and the potential to jointly complete jobs that a …

We present a framework for Multi-Robot Task Allocation (MRTA) in heterogeneous teams
performing long-endurance missions in dynamic scenarios. Given the limited battery of …

Plan execution in dynamic environments can be affected by unexpected events leading to
failures. Research on multi-agent planning area presents recovery strategies with …

In many business processes, multiple actors such as different employees, departments or
companies are involved. These actors need to work together and form appropriate …

The main issue in multi-agent planning (MAP) is the agents' coordination process that is a
computationally hard problem. Thus, many works focus on the planning strategy considering …

Intelligent agent-based systems are applied for many real-life difficult problem-solving tasks
in domains like transport and healthcare. In the case of many classes of real-life difficult …