8 accepted papers
Collectively exploring and understanding an environment is an open challenge, particularly in dynamic settings where agents must rely on limited information that may only be intermittently available. In this paper, we focus on how agents can maximize information capture in these contexts. As agents …
Distributed loitering synchronization is the process whereby a group of fixed-wing Unmanned Aerial Vehicles (UAVs) align with each other while they follow a circular path in the air. This process is essential to establish proper initial conditions for missions in the real world. We evaluate the perf
In this paper, we present the Swarming Without an Anchor (SWA) approach to state estimation in swarms of Unmanned Aerial Vehicles (UAVs) experiencing ego-localization dropout, where individual agents are laterally stabilized using relative information only. We propose to fuse decentralized state est
A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles (UAVs) in feature-poor environments without any external localization and communication is introduced in this letter. A novel model of a UAV neighborhood is proposed to achieve robust onboard mutual perception
In this paper, we present a swarm robotics control and coordination approach that can be used for locating a moving target or source in a GNSS-denied indoor setting. The approach is completely onboard and can be deployed on nano-drones such as the Crazyflies. The swarm acts on a simple set of rules
In this paper, we present a swarm of Crazyflie nano-drones. The swarm can show various collective behaviors: Flocking, gradient following, going to a chosen point, formation, and scattered search of the environment. The methodology behind the behaviors is executed entirely on-board. Crazyflies use a…
Within the field of multi-robot systems, developing systems that rely only on onboard sensing without the use of external infrastructure (e.g. GNSS) has many potential applications. However, relying only on visual-based modalities for localization presents challenges in terms of accuracy and reliabi…
Potential field approaches have been often used to describe and model interactions within a swarm of robots performing collective motion, also called flocking. Despite the high number of proposed approaches, most have only been tested in simulation and among the minority tested on real robots, even…