Eduardo Castelló Ferrer

Assistant Professor of Robotics & AI

Secure and secret cooperation in robot swarms

Abstract

The importance of swarm robotics systems in both academic research and real-world applications is steadily increasing. However, to reach widespread adoption, new models that ensure the secure cooperation of large groups of robots need to be developed. This work introduces a method to encapsulate cooperative robotic missions in an authenticated data structure known as a Merkle tree. With this method, operators can provide the “blueprint” of the swarm’s mission without disclosing its raw data. In other words, data verification can be separated from data itself.

Related Publications

Secure and secret cooperation in robot swarms
07-2021

Secure and secret cooperation in robot swarms

Eduardo Castelló Ferrer, Thomas Hardjono, Alex Pentland, Marco Dorigo

Science Robotics