ARCS: General Simulation Platform for Task Resilience Control of Swarms

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Authors: Yifan Zeng, Xuebin Zhuang, Jinning Li, Meng Wu
Cited by: 0

Abstract

Official Release for RESS Publication (Feb 10, 2026) This is the initial official release of the ARCS (Active Resilience Control for Swarms) platform, accompanying the foundational paper: "Active Resilience Control for UAV Swarms: A Closed-Loop Framework Integrating Collaborative Perception and Dynamic Metrics" Accepted for publication in Reliability Engineering & System Safety (RESS), 2026. Key Features in this Version: Perception Layer: Implementation of the STCL-NN (Spatiotemporal Collaborative Localization Neural Network) algorithm. Metric Layer: Integration of the Damage Dynamics-based resilience measurement framework. Control Layer: Implementation of the PMP-based (Pontryagin's Minimum Principle) active resilience control law. Standardized Benchmark: Includes all simulation scenarios and data generation scripts (exp01–exp03) presented in the paper. This release provides a permanent, citable version of the code to ensure full scientific reproducibility.

Fields of Study & Subjects

Distributed Control Multi-Agent Systems Modular Robots and Swarm Intelligence Air Traffic Management and Optimization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN