This paper investigates multi-objective optimization of coordinated patrolling flight of multiple
unmanned aerial vehicles in the vicinity of terrain, while respecting their performance …

The safety and effectiveness of transportation systems could be improved significantly
through edge computing which can be relied on to assist intelligent and connected vehicles …

This work presents a Multiple Depot Traveling Salesman Problem with revisit period
constraints. The revisit period constraints are relevant to persistent routing applications …

This paper is concerned with autonomous forest full coverage search using multiple micro
aerial vehicles (MAVs). Due to the complex and cluttered environment, ie, many obstacles …

Directing groups of unmanned air vehicles (UAVs) is a task that typically requires the full
attention of several operators. This can be prohibitive in situations where an operator must …

In this work, a continuous monitoring scenario where multiple unmanned aerial vehicles are
tasked to monitor a dynamic target moving along a path with unknown speed profile is …

In this work, we implement a decentralized and noncooperative state estimation and control
algorithm to autonomously balance a team of robots in a circular formation pattern. The …

The surveillance in defense areas and military borders has been an important and essential
factor for ensuring the safety of the people. This paper helps to build a prototype that might …

In this letter, we present a decentralized multi-agent path planning algorithm for level set
estimation (LSE) and environmental monitoring missions. The planned paths are …

This paper proposes a novel truthful computing algorithm for learning task outsourcing
decision-making strategies in edge-enabled unmanned aerial vehicle (UAV) networks. In …