1 citations · 1 across the 2 of their papers we have counts for
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A model-based framework for learning transparent swarm behaviors
Mario Coppola, Jian Guo, Eberhard Gill +1
This paper proposes a model-based framework to automatically and efficiently design understandable and verifiable behaviors for swarms of robots. The framework is based on the auto…
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
Daniël Willemsen, Mario Coppola, Guido C. H. E. de Croon
Multi-robot systems can benefit from reinforcement learning (RL) algorithms that learn behaviours in a small number of trials, a property known as sample efficiency. This research…
On-board Range-based Relative Localization for Micro Aerial Vehicles in indoor Leader-Follower Flight
Steven van der Helm, Kimberly N. McGuire, Mario Coppola +1
We present a range-based solution for indoor relative localization by Micro Air Vehicles (MAVs), achieving sufficient accuracy for leader-follower flight. Moving forward from previ…
Provable Emergent Pattern Formation by a Swarm of Anonymous, Homogeneous, Non-Communicating, Reactive Robots with Limited Relative Sensing and no Global Knowledge or Positioning
Mario Coppola, Jian Guo, Eberhard K. A. Gill +1
In this work, we explore emergent behaviors by swarms of anonymous, homogeneous, non-communicating, reactive robots that do not know their global position and have limited relative…