5 citations · 12 across the 7 of their papers we have counts for
7 papers
Swarm Oracle: Trustless Blockchain Agreements through Robot Swarms
Alexandre Pacheco, Hanqing Zhao, Volker Strobel +4
Blockchain consensus, rooted in the principle ``don't trust, verify'', limits access to real-world data, which may be ambiguous or inaccessible to some participants. Oracles addres…
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
Volker Strobel, Marco Dorigo, Mario Fritz
Robot swarms are composed of many simple robots that communicate and collaborate to fulfill complex tasks. Robot controllers usually need to be specified by experts on a case-by-ca…
Securing Federated Learning in Robot Swarms using Blockchain Technology
Alexandre Pacheco, Sébastien De Vos, Andreagiovanni Reina +2
Federated learning is a new approach to distributed machine learning that offers potential advantages such as reducing communication requirements and distributing the costs of trai…
Toychain: A Simple Blockchain for Research in Swarm Robotics
Alexandre Pacheco, Ulysse Denis, Raina Zakir +3
This technical report describes the implementation of Toychain: a simple, lightweight blockchain implemented in Python, designed for ease of deployment and practicality in robotics…
MyPDDL: Tools for efficiently creating PDDL domains and problems
Volker Strobel, Alexandra Kirsch
The Planning Domain Definition Language (PDDL) is the state-of-the-art language for specifying planning problems in artificial intelligence research. Writing and maintaining these…
Efficient Global Indoor Localization for Micro Aerial Vehicles
V. Strobel, R. Meertens, G. C. H. E. de Croon
Indoor localization for autonomous micro aerial vehicles (MAVs) requires specific localization techniques, since the Global Positioning System (GPS) is usually not available. We pr…