For multiple unmanned aerial vehicles (UAVs) performing aerial search-attack tasks, there is
a tradeoff between maximizing total benefit and minimizing consumption under the validity of …

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 …

Target search in 3-D underwater environments is a challenge in multiple autonomous
underwater vehicles (multi-AUVs) exploration. This paper focuses on an effective strategy for …

This paper considers a reconnaissance task assignment problem for multiple unmanned
aerial vehicles (UAVs) with different sensor capacities. A modified Multi-Objective Symbiotic …

In this letter, we propose a complete probabilistic tactile-based framework to enable robots
to autonomously explore unknown workspaces and recognize objects based on their …

Nowadays, robots generally have a variety of capabilities, which often form a coalition
replacing human to work in dangerous environment, such as rescue, exploration, etc. In …

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 …

This paper mainly studies the obstacle avoidance and rapid reconstruction of UAV formation
to improve the adaptability of UAV formation to complex dynamic environment. Firstly, the …

In this paper, we examine multi-target search, where one or more targets must be found by a
moving robot. Given the target's initial probability distribution or the expected search region …