ARCS: General Simulation Platform for Task Resilience Control of Swarms
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