A Randomized Scheduling Framework for Privacy-Preserving Multi-robot Rendezvous given Prior Information

Fuente: arXiv
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Autori principali: Liu, Le, Kawano, Yu, Cao, Ming
Natura: Preprint
Pubblicazione: 2025
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author Liu, Le
Kawano, Yu
Cao, Ming
author_facet Liu, Le
Kawano, Yu
Cao, Ming
contents Privacy has become a critical concern in modern multi-robot systems, driven by both ethical considerations and operational constraints. As a result, growing attention has been directed toward privacy-preserving coordination in dynamical multi-robot systems. This work introduces a randomized scheduling mechanism for privacy-preserving robot rendezvous. The proposed approach achieves improved privacy even at lower communication rates, where privacy is quantified via pointwise maximal leakage. We show that lower transmission rates provide stronger privacy guarantees and prove that rendezvous is still achieved under the randomized scheduling mechanism. Numerical simulations are provided to demonstrate the effectiveness of the method.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05053
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Randomized Scheduling Framework for Privacy-Preserving Multi-robot Rendezvous given Prior Information
Liu, Le
Kawano, Yu
Cao, Ming
Systems and Control
Privacy has become a critical concern in modern multi-robot systems, driven by both ethical considerations and operational constraints. As a result, growing attention has been directed toward privacy-preserving coordination in dynamical multi-robot systems. This work introduces a randomized scheduling mechanism for privacy-preserving robot rendezvous. The proposed approach achieves improved privacy even at lower communication rates, where privacy is quantified via pointwise maximal leakage. We show that lower transmission rates provide stronger privacy guarantees and prove that rendezvous is still achieved under the randomized scheduling mechanism. Numerical simulations are provided to demonstrate the effectiveness of the method.
title A Randomized Scheduling Framework for Privacy-Preserving Multi-robot Rendezvous given Prior Information
topic Systems and Control
url https://arxiv.org/abs/2512.05053