This paper presents a new approach based on ant colony optimization (ACO) to determine
the trajectories of a fleet of unmanned air vehicles (UAVs) looking for a lost target in the …

Abstract Minimum Time Search (MTS) algorithms help in search missions proposing search
trajectories that minimize the target detection time considering the available information …

Aiming at the path planning problem for searching static target by autonomous underwater
vehicles (AUVs) in ocean environment, this paper proposes a hierarchical method based on …

Autonomous marine environmental monitoring problem traditionally encompasses an area
coverage problem which can only be effectively carried out by a multi-robot system. In this …

Robotics has dramatically increased our ability to gather data about our environments. This
is an opportune time for the robotics and algorithms community to come together to …

Dynamic target search and tracking represents one of the most challenging problems for
multi-agent systems. Effective strategies are critically needed to address numerous real …

The focus of this paper is the use of Unmanned Aerial Vehicles (UAVs) for searching
multiple targets under uncertain conditions in the minimal possible time. The problem …

Robotics has dramatically increased our ability to gather data about our environments,
creating an opportunity for the robotics and algorithms communities to collaborate on novel …

Multirobot rendezvous control and coordination strategies have garnered significant interest
in recent years because of their potential applications in decentralized tasks. In this paper …

This paper presents a new planner based on Ant Colony Optimization for Real-coded
domains (ACO R) for optimizing the trajectories of multiple Unmanned Aircraft Vehicles …