19 citations · 40 across the 15 of their papers we have counts for
15 papers
Swarming Without an Anchor (SWA): Robot Swarms Adapt Better to Localization Dropouts Then a Single Robot
Jiri Horyna, Roland Jung, Stephan Weiss +2
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, wher…
MinionsLLM: a Task-adaptive Framework For The Training and Control of Multi-Agent Systems Through Natural Language
Andres Garcia Rincon, Eliseo Ferrante
This paper presents MinionsLLM, a novel framework that integrates Large Language Models (LLMs) with Behavior Trees (BTs) and Formal Grammars to enable natural language control of m…
Emergent Heterogeneous Swarm Control Through Hebbian Learning
Fuda van Diggelen, Tugay Alperen Karagüzel, Andres Garcia Rincon +3
In this paper, we introduce Hebbian learning as a novel method for swarm robotics, enabling the automatic emergence of heterogeneity. Hebbian learning presents a biologically inspi…
A Minimalistic 3D Self-Organized UAV Flocking Approach for Desert Exploration
Thulio Amorim, Tiago Nascimento, Akash Chaudhary +2
In this work, we propose a minimalistic swarm flocking approach for multirotor unmanned aerial vehicles (UAVs). Our approach allows the swarm to achieve cohesively and aligned floc…
Fast Swarming of UAVs in GNSS-denied Feature-poor Environments without Explicit Communication
Jiri Horyna, Vit Kratky, Vaclav Pritzl +3
A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles (UAVs) in feature-poor environments without any external localization and communication i…
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier +2
Natural groups of animals, such as swarms of social insects, exhibit astonishing degrees of task specialization, useful to address complex tasks and to survive. This is supported b…