Paolo Leo
abstract
The project simulates a research team composed of different types of robotic agents that
communicate to accelerate the search process. The agents are developed using Jason, a platform
based on the BDI (Belief-Desire-Intention) architecture, which is well-suited to this problem and
allows a straightforward environment implementation.
The simulated environment is a 2D map populated with different objects: obstacles, walkable terrain
and several Points of Interest (POIs). The target (an item or entity to be found) is randomly located
within one of these POIs.
Agents are divided into at least two types: a “ground” unit for the environment interaction, and a
“drone” unit for a faster exploration.
A team of agents (whose size scales with the map's dimensions) must efficiently explore the
environment and locate the target.
Additional features, discussed below, may be included depending on how much time is required for
the implementation.
outcomes