Desert locust

Predictive control of aerial swarms in cluttered environments

Dario Floreano, Fabrizio Schiano, Enrica Soria

Classical models of aerial swarms often describe global coordinated motion as the combination of local interactions that happen at the individual level. Mathematically, these interactions are represented with potential fields. Despite their explanatory suc ...

2021

SwarmLab: a MATLAB Drone Swarm Simulator

Dario Floreano, Fabrizio Schiano, Enrica Soria

Among the available solutions for drone swarm simulations, we identified a lack of simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis. Moreover, users who want to dive in the research field of drone swa ...

2020

The influence of limited visual sensing on the Reynolds ﬂocking algorithm

Dario Floreano, Fabrizio Schiano, Enrica Soria

The interest in multi-drone systems flourished in the last decade and their application is promising in many fields. We believe that in order to make drone swarms flying smoothly and reliably in real-world scenarios we need a first intermediate step which ...

2019

A Soft Robot for Random Exploration of Terrestrial Environments

Dario Floreano, Stefano Mintchev, Davide Zappetti, Jérémie Willemin

A swarm of randomly moving miniature robots is an effective solution for the exploration of unknown terrains. However, the deployment of a swarm of miniature robots poses two challenges: finding an adequate locomotion strategy for fast exploration and obst ...

IEEE2018

Decentralized Self-Selection of Swarm Trajectories: From Dynamical Systems to Robotic Implementation

Francesco Mondada, Max-Olivier Hongler, Guillaume Adrien Sartoretti, Marcelo Elias de Oliveira

In this paper, we present a distributed control strategy, enabling agents to converge onto and travel along a consensually selected curve among a class of closed planar curves. Individual agents identify the number of neighbors within a finite circular sen ...

Springer Verlag2014

Indoor Navigation with a Swarm of Flying Robots

Dario Floreano, Jean-Christophe Zufferey, Timothy Stirling, James Roberts

Swarms of flying robots are promising in many applications due to rapid terrain coverage. However, there are numerous challenges in realising autonomous operation in unknown indoor environments. A new autonomous flight methodology is presented using relati ...

IEEE2012

Dealing with Mid-Air Collisions in Dense Collective Aerial Systems

Dario Floreano, Jean-Christophe Zufferey, Severin Leven

The idea of creating collective aerial systems is appealing because several rather simple flying vehicles could join forces to cover a large area in little time in applications such as monitoring, mapping, search and rescue, or airborne communication relay ...

John Wiley & Sons2011

Monalysin, a novel ß-pore-forming toxin from the Drosophila pathogen Pseudomonas entomophila, contributes to host intestinal damage and lethality

Françoise Gisou van der Goot Grunberg, Bruno Lemaitre, Mircea Ioan Iacovache, Rodrigo Manuel Gonzalez, Onya Opota

Pseudomonas entomophila is an entomopathogenic bacterium that infects and kills Drosophila. P. entomophila pathogenicity is linked to its ability to cause irreversible damages to the Drosophila gut, preventing epithelium renewal and repair. Here we report ...

2011

Desert locust

Model Predictive Control of Aerial Swarms

Predictive control of aerial swarms in cluttered environments

SwarmLab: a MATLAB Drone Swarm Simulator

The influence of limited visual sensing on the Reynolds ﬂocking algorithm

A Soft Robot for Random Exploration of Terrestrial Environments

Decentralized Self-Selection of Swarm Trajectories: From Dynamical Systems to Robotic Implementation

Indoor Navigation with a Swarm of Flying Robots

Dealing with Mid-Air Collisions in Dense Collective Aerial Systems

Monalysin, a novel ß-pore-forming toxin from the Drosophila pathogen Pseudomonas entomophila, contributes to host intestinal damage and lethality

Graph Chatbot

Model Predictive Control of Aerial Swarms

Predictive control of aerial swarms in cluttered environments

SwarmLab: a MATLAB Drone Swarm Simulator

The influence of limited visual sensing on the Reynolds ﬂocking algorithm

A Soft Robot for Random Exploration of Terrestrial Environments

Decentralized Self-Selection of Swarm Trajectories: From Dynamical Systems to Robotic Implementation

Indoor Navigation with a Swarm of Flying Robots

Dealing with Mid-Air Collisions in Dense Collective Aerial Systems

Monalysin, a novel ß-pore-forming toxin from the Drosophila pathogen Pseudomonas entomophila, contributes to host intestinal damage and lethality