Ezequiel Di Mario — accepted AI-conference papers

2015

A distributed noise-resistant Particle Swarm Optimization algorithm for high-dimensional multi-robot learning

Ezequiel Di Mario, Iñaki Navarro, Alcherio Martinoli

ICRA 2015poster

Population-based learning techniques have been proven to be effective in dealing with noise in numerical benchmark functions and are thus promising tools for the high-dimensional optimization of controllers for multiple robots with limited sensing capabilities, which have inherently noisy performanc…

Cited by 15 Source ↗Scholar ↗

2015

Distributed Particle Swarm Optimization - particle allocation and neighborhood topologies for the learning of cooperative robotic behaviors

Iñaki Navarro, Ezequiel Di Mario, Alcherio Martinoli

IROS 2015poster

In this article we address the automatic synthesis of controllers for the coordinated movement of multiple mobile robots, as a canonical example of cooperative robotic behavior. We use five distributed noise-resistant variations of Particle Swarm Optimization (PSO) to learn in simulation a set of 50…

Cited by 2 Source ↗Scholar ↗